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PYthon For Homomorphic Encryption Libraries, perform encrypted computations such as sum, mult, scalar product or matrix multiplication in Python, with NumPy compatibility. Uses SEAL/PALISADE as bac…
Code and experiments for "Measurement-Budget Allocation in Quantum Learning with Finite-Shot Generalization Guarantees." PennyLane simulations reproducing the finite-shot Rademacher bound (Theorem …
Code and experiments for quantum-inspired security in federated learning for wireless communications, including channel estimation and threat-model analysis.
Uncertainty quantification, calibration, and reliability benchmarking for quantum machine learning with Qiskit and PennyLane.
DeepMIMOv4: A Toolchain and Database for Ray-tracing Datasets.
A unified framework for Trustworthy Quantum Machine Learning (TQML), including uncertainty quantification, adversarial robustness, and privacy-preserving federated QML experiments. Contains reprodu…
Deep learning models for automatic modulation recognition using attention mechanisms (baseline, causal, sparse) on RadioML dataset. Includes CNN-Transformer architectures with comprehensive visuali…
CSIBERT-AI4Wireless is a comprehensive repository dedicated to the implementation, evaluation, and analysis of the CSIBERT model, a novel transformer-based approach for enhancing wireless communica…
TradeRES EU Project: A pioneering Ethereum-based blockchain framework for facilitating secure and efficient energy trading. This repository houses the smart contracts for the EnergyToken and Energy…
Trustworthy AI: From Theory to Practice book. Explore the intersection of ethics and technology with 'Trustworthy AI: From Theory to Practice.' This comprehensive guide delves into creating AI mode…
Project at the university about Asymmetric Neural Cryprography
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
5G Spectrogram-based Random Number Generation for Devices with Low Entropy Sources
Sionna: An Open-Source Library for Research on Communication Systems
Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing techniques, has been started to use for the improvement of …
6G Wireless Communication Security - Deep Learning Based Channel Estimation Dataset
6G and Security repository for telecommunications and AI research. We will share our implementations and publications in 5G and beyond technology, 6G, Security, Machine learning on 6G, Massive MIMO…
Source code about machine learning and security.
Uncertainty quantification method and tool for object detection models
RBF SVM based wrong prediction estimator in deep learning models employed for CPS data
CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication …