lin-tan / llm-vulLinks
For our ISSTA23 paper "How Effective are Neural Networks for Fixing Security Vulnerabilities?" by Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, and Sameena Shah.
☆39Updated last year
Alternatives and similar repositories for llm-vul
Users that are interested in llm-vul are comparing it to the libraries listed below
Sorting:
- [ICSE 2024 Industry Challenge Track] Official implementation of "ReposVul: A Repository-Level High-Quality Vulnerability Dataset".☆85Updated 11 months ago
- Repository for PrimeVul Vulnerability Detection Dataset☆188Updated last year
- VulRepair: A T5-Based Automated Software Vulnerability Repair☆81Updated 5 months ago
- For our ICSE21 paper "CURE: Code-Aware Neural Machine Translation for Automatic Program Repair" by Nan Jiang, Thibaud Lutellier, and Lin …☆55Updated 2 years ago
- [2023 TDSC] Pre-trained Model-based Automated Software Vulnerability Repair: How Far are We?☆25Updated 2 years ago
- This repository is to support contributions for tools and new data entries for the D2A dataset hosted in DAX☆74Updated 3 years ago
- open science repo of "Neural Transfer Learning for Repairing Security Vulnerabilities in C Code" https://arxiv.org/pdf/2104.08308☆63Updated last year
- Vul4J: A Dataset of Reproducible Java Vulnerabilities☆100Updated last month
- ☆15Updated 2 years ago
- A C/C++ Code Vulnerability Dataset with Code Changes and CVE Summaries☆336Updated 4 years ago
- ☆17Updated 4 months ago
- VulTrigger is a tool to for identifying vulnerability-triggering statements across functions and investigating the effectiveness of funct…☆41Updated last year
- A Transformer-based Line-Level Vulnerability Prediction☆147Updated last year
- Replication package for "Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection", ICSE 2024.☆67Updated last year
- Code for the paper - Source Code Vulnerability Detection: Combining Code Language Models and Code Property Graph☆87Updated last year
- ☆12Updated last year
- DeepWukong: Statically Detecting Software Vulnerabilities Using Deep Graph Neural Network☆109Updated 3 years ago
- Source Code for Paper "Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning"☆18Updated 2 years ago
- ☆216Updated last year
- [TOSEM 2023] A Survey of Learning-based Automated Program Repair☆71Updated last year
- ☆85Updated 4 years ago
- Statement-level deep learning model for automated software vulnerability detection in C/C++ (Accepted in MSR 2022)☆72Updated 3 years ago
- ☆49Updated 2 years ago
- ☆76Updated 2 years ago
- ☆40Updated 7 months ago
- VulnerabilityDetectionResearch☆91Updated 3 years ago
- VulExplainer: A Transformer-based Hierarchical Distillation for Explaining Vulnerability Types☆17Updated last year
- Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks☆239Updated last year
- ☠️ Ground-truth dataset for vulnerability prediction (known research datasets and data sources included such as NVD, CVE Details and OSV)…☆98Updated 2 years ago
- ☆13Updated 2 years ago