An oblivious RAM (ORAM) compiler is a cryptographic tool that transforms a program $P$ running in time $n$ into an equivalent program $\tilde P$, with the property that the sequence of memory addresses read from/written to by $\tilde P$ reveal nothing about $\tilde P$'s data (Goldreich and Ostrovsky, JACM'96). An efficient ORAM compiler $C$ should achieve some combination of the following: - Low bandwidth blow-up: $\tilde P$ should read/write a similar amount of data as does P. - Low...

Current DAG-based BFT protocols face a critical trade-off: certified DAGs provide strong security guarantees but require additional rounds of communication to progress the DAG construction, while uncertified DAGs achieve lower latency at the cost of either reduced resistance to adversarial behaviour or higher communication costs. This paper presents Starfish, a partially synchronous DAG-based BFT protocol that achieves the security properties of certified DAGs, the efficiency of...

In a social key recovery scheme, users back up their secret keys (typically using Shamir's secret sharing) with their social connections, known as a set of guardians. This places a heavy burden on the guardians, as they must manage their shares both securely and reliably. Finding and managing such a set of guardians may not be easy, especially when the consequences of losing a key are significant. We take an alternative approach of social recovery within a community, where each member...

In this paper, we revisit the question of key recovery using side-channel analysis for unrolled, single-cycle block ciphers. In particular, we study the Princev2 cipher. While it has been shown vulnerable in multiple previous studies, those studies were performed on side-channel friendly ASICs or older FPGAs (e.g., Xilinx Virtex II on the SASEBO-G board), and using mostly expensive equipment. We start with the goal of exploiting a cheap modern FPGA and board using power traces from a cheap...

Secure Two-Party Computation (2PC) enables secure inference with cryptographic guarantees that protect the privacy of the model owner and client. However, it adds significant performance overhead. In this work, we make 2PC-based secure inference efficient while considering important deployment scenarios. We observe that the hitherto unconsidered latency of fetching keys from storage significantly impacts performance, as does network speed. We design a Linear Secret Sharing (LSS)-based...

There is a heavy preference towards instantiating BGV and BFV homomorphic encryption schemes where the cyclotomic order $m$ is a power of two, as this admits highly efficient fast Fourier transformations. Field Instruction Multiple Data (FIMD) was introduced to increase packing capacity in the case of small primes and improve amortised performance, using reverse multiplication-friendly embeddings (RMFEs) to encode more data into each SIMD slot. However, FIMD currently does not admit...

Existing fully homomorphic encryption (FHE) schemes primarily support a plaintext space defined over a relatively small prime. However, in some important applications of FHE one needs arithmetic over a large prescribed prime. In this paper we construct a new FHE system that is specifically designed for this purpose. Our system composes three layers of residue systems to enable much better performance than was previously possible. Our experiments show that for arithmetic modulo a 256-bit...

SCARF is a tweakable block cipher dedicated to cache address randomization, proposed at the USENIX Security conference. It has a 10-bit block, 48-bit tweak, and 240-bit key. SCARF is aggressively optimized to meet the harsh latency constraints of cache address randomization, and uses a dedicated model for its security claim. The full version of SCARF has 8 rounds, and its designers claim security up to $2^{40}$ queries and $2^{80}$ computations. In this work we present a distinguisher...

We study the problem of embedded code encryption, i.e., encryption for binary software code for a secure microcontroller that is stored in an insecure external memory. As every single instruction must be decrypted before it can be executed, this scenario requires an extremely low latency decryption. We present a formal treatment of embedded code encryption security definitions, propose three constructions, namely ACE1, ACE2 and ACE3, and analyze their security. Further, we present ChiLow, a...

The Log Structured Merge (LSM) Tree is a popular choice for key-value stores that focus on optimized write throughput while maintaining performant, production-ready read latencies. To optimize read performance, LSM stores rely on a probabilistic data structure called the Bloom Filter (BF). In this paper, we focus on adversarial workloads that lead to a sharp degradation in read performance by impacting the accuracy of BFs used within the LSM store. Our evaluation shows up to $800\%$ increase...

Payment channels have emerged as a promising solution to address the performance limitations of cryptocurrencies payments, enabling efficient off-chain transactions while maintaining security guarantees. However, existing payment channel protocols, including the widely-deployed Lightning Network and the state-of-the-art Sleepy Channels, suffer from a fundamental vulnerability: non-atomic state transitions create race conditions that can lead to unexpected financial losses. We first formalize...

Cross-chain bridges, realizing the transfer of information and assets between blockchains, form the core of blockchain interoperability solutions. Most existing bridge networks are modeled in an honest-malicious setting, where the bridge nodes are either honest or malicious. Rationality allows the nodes to deviate from the protocol arbitrarily for an economic incentive. In this work, we present HyperLoop, an efficient cross-chain multi-signature bridge and prove that it is safe and live...

The GINX method in TFHE enables low-latency ciphertext bootstrapping with relatively small bootstrapping keys, but is limited to binary or ternary key distributions. In contrast, the AP method supports arbitrary key distributions, however at the cost of significantly large bootstrapping keys. Building on AP, automorphism-based methods (LMK⁺, EUROCRYPT 2023) achieve smaller keys, though each automorphism application necessitates a key switch, introducing computational overhead and...

In this paper, we study practical constructions of asynchronous distributed key reconfiguration ($\mathsf{ADKR}$), which enables an asynchronous fault-tolerant system with an existing threshold cryptosystem to efficiently generate a new threshold cryptosystem for a reconfigured set of participants. While existing asynchronous distributed threshold key generation ($\mathsf{ADKG}$) protocols theoretically solve $\mathsf{ADKR}$, they fail to deliver satisfactory scalability due to cubic...

BFT protocols usually have a waterfall-like degradation in performance in the face of crash faults. Some BFT protocols may not experience sudden performance degradation under crash faults. They achieve this at the expense of increased communication and round complexity in fault-free scenarios. In a nutshell, existing protocols lack the adaptability needed to perform optimally under varying conditions. We propose TockOwl, the first asynchronous consensus protocol with fault adaptability....

Post-quantum signatures have high costs compared to RSA and ECDSA, in particular for smart cards. A line of work originating from Even, Goldreich, and Micali (CRYPTO'89) aimed to reduce digital signature latency by splitting up signing into an online and offline phase. The online/offline paradigm combines an ordinary long-term signature scheme with a fast, generally one-time, signature scheme. We reconsider this paradigm in the context of lattice-based post-quantum signatures in the GPV...

Boolean formula minimization is a notoriously hard problem that is known to be $\varSigma_2^P$-complete. Circuit minimization, typically studied in the context of a much broader subject known as synthesis and optimization of circuits, introduces another layer of complexity since ultimately those technology-independent epresentations (e.g., Boolean formulas and truth tables) has to be transformed into a netlist of cells of the target technology library. To manage those complexities, the...

Byzantine fault-tolerant (BFT) state machine replication (SMR) protocols form the basis of modern blockchains as they maintain a consistent state across all blockchain nodes while tolerating a bounded number of Byzantine faults. We analyze BFT SMR in the excessive fault setting where the actual number of Byzantine faults surpasses a protocol's tolerance. We start by devising the very first repair algorithm for linearly chained and quorum-based partially synchronous SMR to recover from...

In various real-world situations, a client may need to verify whether specific data elements they possess are part of a set segmented among numerous data holders. To maintain user privacy, it’s essential that both the client’s data elements and the data holders’ sets remain encrypted throughout the process. Existing approaches like Private Set Intersection (PSI), Multi-Party PSI (MPSI), Private Segmented Membership Test (PSMT), and Oblivious RAM (ORAM) face challenges in these...

Directed Acyclic Graph (DAG) based protocols have shown great promise to improve the performance of blockchains. The CAP theorem shows that it is impossible to have a single system that achieves both liveness (known as dynamic availability) and safety under network partition.This paper explores two types of DAG-based protocols prioritizing liveness or safety, named structured dissemination and Graded Common Prefix (GCP), respectively. For the former, we introduce the first...

The impossible boomerang attack is a very powerful attack, and the existing results show that it is more effective than the impossible differential attack in the related-key scenario. However, several limitations persist in the current key recovery process: the division of pre-guess keys is rather coarse; the details of S-boxes are ignored in the differential propagation; the complexity estimation and the key guessing order's determination are relatively rough and primitive. These are the...

Privacy and security have become critical priorities in many scenarios. Privacy-preserving computation (PPC) is a powerful solution that allows functions to be computed directly on encrypted data. Garbled circuit (GC) is a key PPC technology that enables secure, confidential computing. GC comes in two forms: Boolean GC supports all operations by expressing functions as logic circuits; arithmetic GC is a newer technique to efficiently compute a set of arithmetic operations like addition and...

Internet-scale consensus protocols used by blockchains are designed to remain operational in the presence of unexpected temporary crash faults (the so-called sleepy model of consensus) -- a critical feature for the latency-sensitive financial applications running on these systems. However, their leader-based architecture, where a single block proposer is responsible for creating the block at each height, makes them vulnerable to short-term censorship attacks, in which the proposers profit...

With the rapid growth of blockchain-based Non-Fungible Tokens (NFTs), data trading has evolved to incorporate NFTs for ownership verification. However, the NFT ecosystem faces significant challenges in copyright protection, particularly when malicious buyers slightly modify the purchased data and re-mint it as a new NFT, infringing upon the original owner's rights. In this paper, we propose a copyright-preserving data trading protocol to address this challenge. First, we introduce the...

Sensitive pictures such as passport photos and nudes are commonly shared through mobile chat applications. One popular strategy for the privacy protection of this material is to use ephemeral messaging features, such as the view once snaps in Snapchat. However, design limitations and implementation bugs in messaging apps may allow attackers to bypass the restrictions imposed by those features on the received material. One way by which attackers may accomplish so is by tampering with the...

Garbled circuits are a foundational primitive in both theory and practice of cryptography. Given $(\hat{C}, K[x])$, where $\hat{C}$ is the garbling of a circuit C and $K[x] = \{K[i, x_i]\}$ are the input labels for an input $x$, anyone can recover $C(x)$, but nothing else about the input $x$. Most research efforts focus on minimizing the size of the garbled circuit $\hat{C}$. In contrast, the work by Applebaum, Ishai, Kushilevitz, and Waters (CRYPTO' 13) initiated the study of minimizing the...

We introduce a new approach between classical security proofs of modes of operation and dedicated security analysis for known cryptanalysis families: General Practical Cryptanalysis. This allows us to analyze generically the security of the sum of two keyed permutations against known attacks. In many cases (of course, not all), we show that the security of the sum is strongly linked to that of the composition of the two permutations. This enables the construction of beyond-birthday bound...

Encrypted messaging systems obstruct content moderation, although they provide end-to-end security. As a result, misinformation proliferates in these systems, thereby exacerbating online hate and harassment. The paradigm of ``Reporting-then-Tracing" shows great potential in mitigating the spread of misinformation. For instance, message traceback (CCS'19) traces all the dissemination paths of a message, while source tracing (CCS'21) traces its originator. However, message traceback lacks...

Private deep neural network (DNN) inference based on secure two-party computation (2PC) enables secure privacy protection for both the server and the client. However, existing secure 2PC frameworks suffer from a high inference latency due to enormous communication. As the communication of both linear and non-linear DNN layers reduces with the bit widths of weight and activation, in this paper, we propose PrivQuant, a framework that jointly optimizes the 2PC-based quantized inference...

Several protocols have been proposed recently for threshold ECDSA signatures, mostly in the dishonest-majority setting. Yet in so-called key-management networks, where a fixed set of servers share a large number of keys on behalf of multiple users, it may be reasonable to assume that a majority of the servers remain uncompromised, and in that case there may be several advantages to using an honest-majority protocol. With this in mind, we describe an efficient protocol for honest-majority...

Homomorphic encryption (HE)-based deep neural network (DNN) inference protects data and model privacy but suffers from significant computation overhead. We observe transforming the DNN weights into circulant matrices converts general matrix-vector multiplications into HE-friendly 1-dimensional convolutions, drastically reducing the HE computation cost. Hence, in this paper, we propose PrivCirNet, a protocol/network co-optimization framework based on block circulant transformation. At the...

In many lightweight cryptography applications, low area and latency are required for efficient implementation. The gate count in the cipher and the circuit depth must be low to minimize these two metrics. Many optimization strategies have been developed for the linear layer, led by the Boyar-Peralta (BP) algorithm. The Advanced Encryption Standard (AES) has been a focus of extensive research in this area. However, while the linear layer uses only XOR gates, the S-box, which is an essential...

The proliferation of data outsourcing and cloud services has heightened privacy vulnerabilities. CKKS, among the most prominent homomorphic encryption schemes, allows computations on encrypted data, serving as a critical privacy safeguard. However, performance remains a central bottleneck, hindering widespread adoption. Existing optimization efforts often prioritize latency reduction over throughput performance. This paper presents HI-CKKS, a throughput-oriented High-performance...

Succinct non-interactive arguments of knowledge (SNARKs) enable a prover to produce a short and efficiently verifiable proof of the validity of an arbitrary NP statement. Recent constructions of efficient SNARKs have led to interest in using them for a wide range of applications, but unfortunately, deployment of SNARKs in these applications faces a key bottleneck: SNARK provers require a prohibitive amount of time and memory to generate proofs for even moderately large statements. While...

The fast-paced development and deployment of private messaging applications demands mechanisms to protect against the concomitant potential for abuse. While widely used end-to-end encrypted (E2EE) messaging systems have deployed mechanisms for users to verifiably report abusive messages without compromising the privacy of unreported messages, abuse reporting schemes for systems that additionally protect message metadata are still in their infancy. Existing solutions either focus on a...

Automated cryptanalysis has seen a lot of attraction and success in the past decade, leading to new distinguishers or key-recovery attacks against various ciphers. We argue that the improved efficiency and usability of these new tools have been undervalued, especially for design processes. In this article, we break for the first time the classical iterative design paradigm for symmetric-key primitives, where constructions are built around the repetition of a round function. We propose...

Sharding emerges as a promising solution to enhance blockchain scalability. However, it faces two critical limitations during shard reconfiguration: (1) the TPS-Degradation issue, arising from ledger synchronization conflicts during transaction processing, and (2) the Zero-TPS issue, caused by disruptions in transaction processing due to key negotiation. To this end, we propose Shardora, a blockchain sharding system for scaling blockchain by unleashing parallelism. In Shardora, we implement...

FHE enables computations on encrypted data, proving itself to be an essential building block for privacy-preserving applications. However, it involves computationally demanding operations such as polynomial multiplication, with the NTT being the state-of-the-art solution to perform it. Considering that most FHE schemes operate over the negacyclic ring of polynomials, we introduce a novel formulation of the hierarchical Four-Step NTT approach for the negacyclic ring, eliminating the need for...

In blockchain networks, transaction latency is crucial for determining the quality of service (QoS). The latency of a transaction is measured as the time between its issuance and its inclusion in a block in the chain. A block proposer often prioritizes transactions with higher fees or transactions from accounts it is associated with, to minimize their latencies. To maintain fairness among transactions, a block proposer is expected to select the included transactions randomly. The random...

As language models are increasingly deployed in cloud environments, privacy concerns have become a significant issue. To address this, we design THOR, a secure inference framework for transformer models on encrypted data. Specifically, we first propose new fast matrix multiplication algorithms based on diagonal-major order encoding and extend them to parallel matrix computation through the compact ciphertext packing technique. Second, we design efficient protocols for secure computations of...

The circulant twin column parity mixer (TCPM) is a type of mixing layer for the round function of cryptographic permutations designed by Hirch et al. at CRYPTO 2023. It has a bitwise differential branch number of 12 and a bitwise linear branch number of 4, which makes it competitive in applications where differential security is required. Hirch et al. gave a concrete instantiation of a permutation using such a mixing layer, named Gaston, and showed the best 3-round differential and linear...

Zero-knowledge proof (ZKP) is a cryptographic primitive that enables one party to prove the validity of a statement to other parties without disclosing any secret information. With its widespread adoption in applications such as blockchain and verifiable machine learning, the demand for generating zero-knowledge proofs has increased dramatically. In recent years, considerable efforts have been directed toward developing GPU-accelerated systems for proof generation. However, these previous...

We present a new construction of two-party, threshold ECDSA, building on a 2017 scheme of Lindell and improving his scheme in several ways. ECDSA signing is notoriously hard to distribute securely, due to non-linearities in the signing function. Lindell's scheme uses Paillier encryption to encrypt one party's key share and handle these non-linearities homomorphically, while elegantly avoiding any expensive zero knowledge proofs over the Paillier group during the signing process. However,...

The Multi-Scalar Multiplication (MSM) is the main barrier to accelerating Zero-Knowledge applications. In recent years, hardware acceleration of this algorithm on both FPGA and GPU has become a popular research topic and the subject of a multi-million dollar prize competition (ZPrize). This work presents OPTIMSM: Optimized Processing Through Iterative Multi-Scalar Multiplication. This novel accelerator focuses on the acceleration of the MSM algorithm for any Elliptic Curve (EC) by improving...

ARADI is a low-latency block cipher proposed by the NSA (National Security Agency) in 2024 for memory encryption. Bellini et al. experimentally demonstrated that in specific cubes of 5-round ARADI, the cube sums are byte-wise equal, for example, to 0x9d9dc5c5. This paper modifies the MILP-based division property algorithm to prove this and observes that the rotation amount of 8 in ARADI causes cancellations of monomials, allowing us to extend the byte-wise equal property up to 8 rounds. As a...

Homomorphic Encryption (HE) technology allows for processing encrypted data, breaking through data isolation barriers and providing a promising solution for privacy-preserving computation. The integration of HE technology into Convolutional Neural Network (CNN) inference shows potential in addressing privacy issues in identity verification, medical imaging diagnosis, and various other applications. The CKKS HE algorithm stands out as a popular option for homomorphic CNN inference due to its...

Modern cryptographic techniques such as fully homomorphic encryption (FHE) have recently gained broad attention. Most of these cryptosystems rely on lattice problems wherein polynomial multiplication forms the computational bottleneck. A popular method to accelerate these polynomial multiplications is the Number-Theoretic Transformation (NTT). Recent works aim to improve the practical deployability of NTT and propose toolchains supporting the NTT hardware accelerator design processes....

Large polynomial multiplication is one of the computational bottlenecks in fully homomorphic encryption implementations. Usually, these multiplications are implemented using the number-theoretic transformation to speed up the computation. State-of-the-art GPU-based implementation of fully homomorphic encryption computes the number theoretic transformation in two different kernels, due to the necessary synchronization between GPU blocks to ensure correctness in computation. This can be a...

We propose a dynamic, low-latency encrypted multi-map (EMM) that operates in two modes: low-leakage mode, which reveals minimal information such as data size, expected response length, and query arrival rate; and subliminal mode, which reveals only the data size while hiding metadata including query and update times, the number of operations executed, and even whether an operation was executed at all---albeit at the cost of full correctness. We achieve this by exploiting a tradeoff...

Transciphering (or Hybrid-Homomorphic Encryption, HHE) is an es- tablished technique for avoiding ciphertext expansion in HE applications, saving communication and storage resources. Recently, it has also been shown to be a fundamental component in the practical construction of HE-based multi-party computation (MPC) protocols, being used both for input data and intermediary results (Smart, IMACC 2023). In these protocols, however, ciphers are used with keys that are jointly generated by...

In aggregation queries, predicate parameters often reveal user intent. Protecting these parameters is critical for user privacy, regardless of whether the database is public or private. While most existing works focus on private data settings, we address a public data setting where the server has access to the database. Current solutions for this setting either require additional setups (e.g., noncolluding servers, hardware enclaves) or are inefficient for practical workloads. Furthermore,...

Blockchain-based auction markets offer stronger fairness and transparency compared to their centralized counterparts. Deposits and sealed bid formats are usually applied to enhance security and privacy. However, to our best knowledge, the formal treatment of deposit-enabled sealed-bid auctions remains lacking in the cryptographic literature. To address this gap, we first propose a decentralized anonymous deposited-bidding (DADB) scheme, providing formal syntax and security definitions....

Masking schemes are key in thwarting side-channel attacks due to their robust theoretical foundation. Transitioning from Boolean to arithmetic (B2A) masking is a necessary step in various cryptography schemes, including hash functions, ARX-based ciphers, and lattice-based cryptography. While there exists a significant body of research focusing on B2A software implementations, studies pertaining to hardware implementations are quite limited, with the majority dedicated solely to creating...

We propose a new private Approximate Nearest Neighbor (ANN) search scheme named Pacmann that allows a client to perform ANN search in a vector database without revealing the query vector to the server. Unlike prior constructions that run encrypted search on the server side, Pacmann carefully offloads limited computation and storage to the client, no longer requiring computationally-intensive cryptographic techniques. Specifically, clients run a graph-based ANN search, where in each hop on...

This paper presents a Generalized BFV (GBFV) fully homomorphic encryption scheme that encrypts plaintext spaces of the form $\mathbb{Z}[x]/(\Phi_m(x), t(x))$ with $\Phi_m(x)$ the $m$-th cyclotomic polynomial and $t(x)$ an arbitrary polynomial. GBFV encompasses both BFV where $t(x) = p$ is a constant, and the CLPX scheme (CT-RSA 2018) where $m = 2^k$ and $t(x) = x-b$ is a linear polynomial. The latter can encrypt a single huge integer modulo $\Phi_m(b)$, has much lower noise growth than BFV...

This paper reveals a critical flaw in the design of ARADI, a recently proposed low-latency block cipher by NSA researchers -- Patricia Greene, Mark Motley, and Bryan Weeks. The weakness exploits the specific composition of Toffoli gates in the round function of ARADI's nonlinear layer, and it allows the extension of a given algebraic distinguisher to one extra round without any change in the data complexity. More precisely, we show that the cube-sum values, though depending on the secret key...

HEonGPU is a high-performance library designed to optimize Fully Homomorphic Encryption (FHE) operations on Graphics Processing Unit (GPU). By leveraging the parallel processing capac- ity of GPUs, HEonGPU significantly reduces the computational overhead typically associated with FHE by executing complex operation concurrently. This allows for faster execution of homomorphic computations on encrypted data, enabling real-time applications in privacy-preserving machine learn- ing and secure...

Overpass Channels presents a groundbreaking approach to blockchain scalability, offering a horizontally scalable, privacy-enhanced payment network with independent verification, fluid liquidity, and robust censorship resistance. This paper introduces a novel architecture that leverages zero-knowledge proofs, specifically zk-SNARKs, to ensure transaction validity and privacy while enabling unprecedented throughput and efficiency. By eliminating the need for traditional consensus mechanisms...

Mix networks (mixnets) enhance anonymity by routing client messages through multiple hops, intentionally delaying or reordering these messages to ensure unlinkability. However, this process increases end-to-end latency, potentially degrading the client experience. To address this issue, LARMix (NDSS, 2024) proposed a low-latency routing methodology specifically designed for stratified mixnet architectures. Our paper extends this concept to Free Routes mixnet designs, where, unlike stratified...

Modern data analytics requires computing functions on streams of data points from many users that are challenging to calculate, due to both the high scale and nontrivial nature of the computation at hand. The need for data privacy complicates this matter further, as general-purpose privacy-enhancing technologies face limitations in at least scalability or utility. Existing work has attempted to improve this by designing purpose-built protocols for the use case of Private Stream Aggregation;...

Forward-Secure Key-Encapsulation Mechanism (FS-KEM; Canetti et al. Eurocrypt 2003) allows Alice to encapsulate a key $k$ to Bob for some time $t$ such that Bob can decapsulate it at any time $t'\leq t$. Crucially, a corruption of Bob's secret key after time $t$ does not reveal $k$. In this work, we generalize and extend this idea by also taking Post-Compromise Security (PCS) into account and call it Interval Key-Encapsulation Mechanism (IKEM). Thus, we do not only protect confidentiality...

In this paper, we present the first third-party cryptanalysis of SCARF, a tweakable low-latency block cipher designed to thwart contention-based cache attacks through cache randomization. We focus on multiple-tweak differential attacks, exploiting biases across multiple tweaks. We establish a theoretical framework explaining biases for any number of rounds and verify this framework experimentally. Then, we use these properties to develop a key recovery attack on 7-round SCARF with a time...

Secure join queries over encrypted databases, the most expressive class of SQL queries, have attracted extensive attention recently. The state-of-the-art JXT (Jutla et al. ASIACRYPT 2022) enables join queries on encrypted relational databases without pre-computing all possible joins. However, JXT can merely support join queries over two tables (in encrypted databases) with some high-entropy join attributes. In this paper, we propose an equi-join query protocol over two tables dubbed JXT+,...

Digital signatures are fundamental building blocks in various protocols to provide integrity and authenticity. The development of the quantum computing has raised concerns about the security guarantees afforded by classical signature schemes. CRYSTALS-Dilithium is an efficient post-quantum digital signature scheme based on lattice cryptography and has been selected as the primary algorithm for standardization by the National Institute of Standards and Technology. In this work, we present a...

In early August 2024, three NSA researchers -- Patricia Greene, Mark Motley, and Bryan Weeks -- published the technical specifications for a new low-latency block cipher, ARADI, along with its corresponding authenticated encryption mode, LLAMA, which is specifically designed for memory encryption applications. Their manuscript offered minimal security analysis of the design, only briefly discussing the differential, linear and algebraic properties of cipher's underlying components. In this...

Framed within the general context of cyber-security, standard cryptographic constructions often represent an enabling technology for associated solutions. Alongside or in combination with their design, therefore, the implementation of such constructions is an important challenge: beyond delivering artefacts that are usable in practice, implementation can impact many quality metrics (such as efficiency and security) which determine fitness-for-purpose. A rich design space of implementation...

Rollups are special applications on distributed state machines (aka blockchains) for which the underlying state machine only logs, but does not execute transactions. Rollups have become a popular way to scale applications on Ethereum and there is now growing interest in running rollups on Bitcoin. Rollups scale throughput and reduce transaction costs by using auxiliary machines that have higher throughput and lower cost of executing transactions than the underlying blockchain. State updates...

Masking has become a widely applied and heavily researched method to protect cryptographic implementations against SCA attacks. The success of masking is primarily attributed to its strong theoretical foundation enabling it to formally prove security by modeling physical properties through so-called probing models. Specifically, the robust $d$-probing model enables us to prove the security for arbitrarily masked hardware circuits, manually or with the assistance of automated tools, even when...

\scarf, an ultra low-latency tweakable block cipher, is the first cipher designed for cache randomization. The block cipher design is significantly different from the other common tweakable block ciphers; with a block size of only 10 bits, and yet the input key size is a whopping $240$ bits. Notably, the majority of the round key in its round function is absorbed into the data path through AND operations, rather than the typical XOR operations. In this paper, we present a key-recovery...

We introduce Compass, a semantic search system over encrypted data that offers high accuracy, comparable to state-of-the-art plaintext search algorithms while protecting data, queries and search results from a fully compromised server. Additionally, Compass enables privacy-preserving RAG where both the RAG database and the query are protected. Compass contributes a novel way to traverse the Hierarchical Navigable Small Worlds (HNSW) graph, a top-performing nearest neighbor search index, over...

The Extended Greatest Common Divisor (XGCD) computation is a critical component in various cryptographic applications and algorithms, including both pre- and post-quantum cryptosystems. In addition to computing the greatest common divisor (GCD) of two integers, the XGCD also produces Bezout coefficients $b_a$ and $b_b$ which satisfy $\mathrm{GCD}(a,b) = a\times b_a + b\times b_b$. In particular, computing the XGCD for large integers is of significant interest. Most recently, XGCD computation...

Recently, an emerging branch of research in the field of fully homomorphic encryption (FHE) attracts growing attention, where optimizations are carried out in developing fast and efficient homomorphic logic circuits. While existing works have pointed out that compound homomorphic gates can be constructed without incurring significant computational overheads, the exact theory and mechanism of homomorphic gate design have not yet been explored. In this work, we propose AutoHoG, an automated...

This paper introduces the Koala PRF, which maps a variable-length sequence of $64$-bit input blocks to a single $257$-bit output block. Its design focuses on achieving low latency in its implementation in ASIC. To construct Koala, we instantiate the recently introduced Kirby construction with the Koala-P permutation and add an input encoding layer. The Koala-P permutation is obtained as the $8$-fold iteration of a simple round function inspired by that of Subterranean. Based on...

Users of decentralized finance (DeFi) applications face significant risks from adversarial actions that manipulate the order of transactions to extract value from users. Such actions---an adversarial form of what is called maximal-extractable value (MEV)---impact both individual outcomes and the stability of the DeFi ecosystem. MEV exploitation, moreover, is being institutionalized through an architectural paradigm known Proposer-Builder Separation (PBS). This work introduces a system...

In this paper, we describe a low-latency block cipher (ARADI) and authenticated encryption mode (LLAMA) intended to support memory encryption applications.

We show that the DAG-based consensus protocol Tusk [DKSS22] does not achieve liveness, at least under certain reasonable assumptions on the implementation that are consistent with its specification. In addition, we give a simple 2-round variation of Tusk with lower latency and strong liveness properties, but with suboptimal resilience. We also show that another 2-round protocol, GradedDAG [DZX+24], which has optimal resilience, also has liveness problems analogous to Tusk.

Non-interactive zero-knowledge (NIZK) proofs of knowledge have proven to be highly relevant for securely realizing a wide array of applications that rely on both privacy and correctness. They enable a prover to convince any party of the correctness of a public statement for a secret witness. However, most NIZKs do not natively support proving knowledge of a secret witness that is distributed over multiple provers. Previously, collaborative proofs [51] have been proposed to overcome this...

Side-channel-analysis (SCA) resistance with cost optimization in AES hardware implementations remains a significant challenge. While traditional masking-based schemes offer provable security, they often incur substantial resource overheads (latency, area, randomness, performance, power consumption). Alternatively, the RAMBAM scheme introduced a redundancy-based approach to control the signal-to-noise ratio, and achieves exponential leakage reduction as redundancy increases. This method...

In this note, we introduce the MATTER Tweakable Block Cipher, designed principally for low latency in low-area hardware implementations, but that can also be implemented in an efficient and compact way in software. MATTER is a 512-bit wide balanced Feistel network with three to six rounds, using the ASCON permutation as the round function. The Feistel network defines a keyed, non-tweakable core, which is made tweakable by using the encryption of the tweak as its key. Key and tweak are...

Recent advancements in transformers have revolutionized machine learning, forming the core of Large language models (LLMs). However, integrating these systems into everyday applications raises privacy concerns as client queries are exposed to model owners. Secure multiparty computation (MPC) allows parties to evaluate machine learning applications while keeping sensitive user inputs and proprietary models private. Due to inherent MPC costs, recent works introduce model-specific optimizations...

This paper proposes a fast and efficient FPGA-based hardware-software co-design for the supersingular isogeny key encapsulation (SIKE) protocol controlled by a custom RISC-V processor. Firstly, we highly optimize the core unit, the polynomial-based field arithmetic logic unit (FALU), with the proposed fast convolution-like multiplier (FCM) to significantly reduce the resource consumption while still maintaining low latency and constant time for all the four SIKE parameters. Secondly, we pack...

A threshold signature scheme splits the signing key among $\ell$ parties, such that any $t$-subset of parties can jointly generate signatures on a given message. Designing concretely efficient post-quantum threshold signatures is a pressing question, as evidenced by NIST's recent call. In this work, we propose, implement, and evaluate a lattice-based threshold signature scheme, Ringtail, which is the first to achieve a combination of desirable properties: (i) The signing...

Blockchain consensus, a.k.a. BFT SMR, are protocols enabling $n$ processes to decide on an ever-growing chain. The fastest known asynchronous one is called 2-chain VABA (PODC'21 and FC'22), and is used as fallback chain in Abraxas* (CCS'23). It has a claimed $9.5\delta$ expected latency when used for a single shot instance, a.k.a. an MVBA. We exhibit attacks breaking it. Hence, the title of the fastest asynchronous MVBA with quadratic messages complexity goes to sMVBA (CCS'22), with...

With concerns about data privacy growing in a connected world, cryptography researchers have focused on fully homomorphic encryption (FHE) for promising machine learning as a service solutions. Recent advancements have lowered the computational cost by several orders of magnitude, but the latency of fully homomorphic neural networks remains a barrier to adoption. This work proposes using multi-exit neural networks (MENNs) to accelerate the FHE inference. MENNs are network architectures that...

Fully homomorphic encryption (FHE) enables arbitrary computation on encrypted data, but certain applications remain prohibitively expensive in the encrypted domain. As a case in point, comparing two encrypted sets of data is extremely computationally expensive due to the large number of comparison operators required. In this work, we propose a novel methodology for encrypted set similarity inspired by the MinHash algorithm and the CGGI FHE scheme. Doing comparisons in FHE requires...

Homomorphic encryption is a powerful technology that solves key privacy concerns in cloud computing by enabling computation on encrypted data. However, it has not seen widespread adoption due to prohibitively high latencies. In this article, we identify polynomial multiplication as a bottleneck and investigate alternative algorithms to accelerate encrypted computing.

Cross-chain Decentralized Applications (dApps) are increasingly popular for their ability to handle complex tasks across various blockchains, extending beyond simple asset transfers or swaps. However, ensuring all dependent transactions execute correctly together, known as complete atomicity, remains a challenge. Existing works provide financial atomicity, protecting against monetary loss, but lack the ability to ensure correctness for complex tasks. In this paper, we introduce Avalon, a...

Waku is a privacy-preserving, generalized, and decentralized messaging protocol suite. Waku uses GossipSub for message routing and Rate Limiting Nullifiers (RLN) for spam protection. GossipSub ensures fast and reliable peer-to-peer message delivery in a permissionless environment, while RLN enforces a common publishing rate limit using zero-knowledge proofs. This paper presents a practical evaluation of message propagation latency in Waku. First, we estimate latencies analytically,...

Fully homomorphic encryption (FHE) based database outsourcing is drawing growing research interests. At its current state, there exist two primary obstacles against FHE-based encrypted databases (EDBs): i) low data precision, and ii) high computational latency. To tackle the precision-performance dilemma, we introduce ArcEDB, a novel FHE-based SQL evaluation infrastructure that simultaneously achieves high data precision and fast query evaluation. Based on a set of new plaintext encoding...

Fully homomorphic encryption (FHE) schemes enable computations on encrypted data, making them as a crucial component of privacy-enhancing technologies. Ducas and Micciancio introduced the FHEW scheme (Eurocrypt '15), which was further enhanced by Chillotti et al. with TFHE (Asiacrypt '17). These schemes support low-latency homomorphic evaluations of binary (or larger) gates due to their small parameter size. However, the evaluation failure probability in these schemes is highly sensitive to...

Oblivious RAM (ORAM) allows a client to securely outsource memory storage to an untrusted server. It has been shown that no ORAM can simultaneously achieve small bandwidth blow-up, small client storage, and a single roundtrip of latency. We consider a weakening of the RAM model, which we call the Single Access Machine (SAM) model. In the SAM model, each memory slot can be written to at most once and read from at most once. We adapt existing tree-based ORAM to obtain an oblivious SAM...

Online authenticated encryption has been considered of practical relevance in light-weight environments due to low latency and constant memory usage. In this paper, we propose a new tweakable block cipher-based online authenticated encryption scheme, dubbed ZLR, and its domain separation variant, dubbed DS-ZLR. ZLR and DS-ZLR follow the Encrypt-MixEncrypt paradigm. However, in contrast to existing schemes using the same paradigm such as ELmE and CoLM, ZLR and DS-ZLR enjoy n-bit security by...

Masking is a widely adopted countermeasure against side-channel analysis (SCA) that protects cryptographic implementations from information leakage. However, current masking schemes often incur significant overhead in terms of electronic cost. RAMBAM, a recently proposed masking technique that fits elegantly with the AES algorithm, offers ultra-low latency/area by utilizing redundant representations of finite field elements. This paper presents a comprehensive generalization of RAMBAM and...

A common drawback of secure vector summation protocols in the single-server model is that they impose at least one synchronization point between all clients contributing to the aggregation. This results in clients waiting on each other to advance through the rounds of the protocol, leading to large latency (or failures due to too many dropouts) even if the protocol is computationally efficient. In this paper we propose protocols in the single-server model where clients contributing data to...

We present a novel approach to small area and low-latency first-order masking in hardware. The core idea is to separate the processing of shares in time in order to achieve non-completeness. Resulting circuits are proven first-order glitch-extended PINI secure. This means the method can be straightforwardly applied to mask arbitrary functions without constraints which the designer must take care of. Furthermore we show that an implementation can benefit from optimization through EDA tools...

Recent years have exhibited an increase in applications that distribute trust across $n$ servers to protect user data from a central point of attack. However, these deployments remain limited due to a core obstacle: establishing $n$ distinct trust domains. An application provider, a single trust domain, cannot directly deploy multiple trust domains. As a result, application providers forge business relationships to enlist third-parties as trust domains, which is a manual, lengthy, and...

Masking is one of the most popular countermeasures to protect implementations against power and electromagnetic side channel attacks, because it offers provable security. Masking has been shown secure against d-threshold probing adversaries by Ishai et al. at CRYPTO'03, but this adversary's model doesn't consider any physical hardware defaults and thus such masking schemes were shown to be still vulnerable when implemented as hardware circuits. To addressed these limitations glitch-extended...

One of the key areas of focus in blockchain research is how to realize privacy-preserving auditing without sacrificing the system’s security and trustworthiness. However, simultaneously achieving auditing and privacy protection, two seemingly contradictory objectives, is challenging because an auditing system would require transparency and accountability which might create privacy and security vulnerabilities. This becomes worse in cross-chain scenarios, where the information silos from...

In the field of Artificial Intelligence (AI), convolution operations have primarily been used in Convolutional Neural Networks (CNNs). However, its utility is increasing with the appearance of convolution integrated transformers or state space models where convolution is a constituent element. In the field of private AI, generalized algorithm, multiplexed parallel convolution was recently proposed to implement CNNs based on the Homomorphic Encryption scheme, residue number system variant...

Verifiable Delay Functions (VDF) are a class of cryptographic primitives aiming to guarantee a minimum computation time, even for an adversary with massive parallel computational power. They are useful in blockchain protocols, and several practical candidates have been proposed based on exponentiation in a large finite field: Sloth++, Veedo, MinRoot. The underlying assumption of these constructions is that computing an exponentiation $x^e$ requires at least $\log_2 e$ sequential...