Code and documentation to train Stanford's Alpaca models, and generate the data.

Reverse Engineering: Decompiling Binary Code with Large Language Models

Open source vulnerability DB and triage service.

A simple code complexity analyser without caring about the C/C++ header files or Java imports, supports most of the popular languages.

100 % FREE, Private (No Internet) DeepSeek’s Advanced RAG: Boost Your RAG Chatbot: Hybrid Retrieval (BM25 + FAISS) + Neural Reranking + HyDe🚀

The CVE Binary Tool helps you determine if your system includes known vulnerabilities. You can scan binaries for over 350 common, vulnerable components (openssl, libpng, libxml2, expat and others),…

A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).

[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"

Awesome Large Language Models for Vulnerability Detection

CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software

Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks

Generative Judge for Evaluating Alignment

Repository for PrimeVul Vulnerability Detection Dataset

A deep learning model for localizing bugs in C/C++ source code (USENIX'23)

MegaVul - The largest, high-quality, extensible, continuously updated, C/C++/Java vulnerability dataset

(NDSS 2024) Optimizing Decompiler Output with LLM

DeepWukong: Statically Detecting Software Vulnerabilities Using Deep Graph Neural Network

Code for the paper - Source Code Vulnerability Detection: Combining Code Language Models and Code Property Graph

The source code of project "LLift" (Enhancing static analysis with LLM)

Revisiting Graph Neural Networks for Vulnerability Detection (ICSE 2022) (Pytorch)

An implementation of the ACL 2024 Findings paper "Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning".

About The corresponding code from our paper " REFINER: Reasoning Feedback on Intermediate Representations" (EACL 2024). Do not hesitate to open an issue if you run into any trouble!

Replication package for "Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection", ICSE 2024.

Program analysis tools built on tree-sitter (https://github.com/tree-sitter/tree-sitter).

Finetuning large language models (LLMs) for vulnerability detection