Zhaoyang-Chu / counterfactual-vulnerability-detection
This repository contains a PyTorch implementation of the ISSTA'24 paper "Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation".
☆31Updated 5 months ago
Alternatives and similar repositories for counterfactual-vulnerability-detection:
Users that are interested in counterfactual-vulnerability-detection are comparing it to the libraries listed below
- ☆46Updated 2 years ago
- ☆74Updated last year
- ☆83Updated 4 years ago
- Statement-level deep learning model for automated software vulnerability detection in C/C++ (Accepted in MSR 2022)☆72Updated 2 years ago
- Code for the paper - Source Code Vulnerability Detection: Combining Code Language Models and Code Property Graph☆73Updated last year
- VulExplainer: A Transformer-based Hierarchical Distillation for Explaining Vulnerability Types☆16Updated last year
- Replication package for "Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection", ICSE 2024.☆63Updated 7 months ago
- The official repository of "GraphSPD: Graph-Based Security Patch Detection with Enriched Code Semantics". The paper will appear in the IE…☆44Updated last year
- The replication package of paper "Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks"☆23Updated last year
- VulnerabilityDetectionResearch☆84Updated 3 years ago
- DeepWukong: Statically Detecting Software Vulnerabilities Using Deep Graph Neural Network☆105Updated 2 years ago
- ☆22Updated 3 years ago
- ☆22Updated 2 years ago
- ☆11Updated last year
- ☆12Updated 2 years ago
- ☆33Updated 2 years ago
- ☆32Updated last month
- MegaVul - The largest, high-quality, extensible, continuously updated, C/C++/Java vulnerability dataset☆70Updated 3 months ago
- Revisiting Graph Neural Networks for Vulnerability Detection (ICSE 2022) (Pytorch)☆71Updated 3 years ago
- ☆14Updated last year
- ☆24Updated 2 years ago
- This repository is to support contributions for tools and new data entries for the D2A dataset hosted in DAX☆71Updated 2 years ago
- ☆14Updated last year
- ☆11Updated last year
- When Less is Enough: Positive-Unlabeled Learning Model for Vulnerability Detection☆12Updated last year
- ☆10Updated 2 years ago
- For our ISSTA23 paper "How Effective are Neural Networks for Fixing Security Vulnerabilities?" by Yi Wu, Nan Jiang, Hung Viet Pham, Thiba…☆36Updated last year
- VulTrigger is a tool to for identifying vulnerability-triggering statements across functions and investigating the effectiveness of funct…☆33Updated last year
- VulRepair: A T5-Based Automated Software Vulnerability Repair☆77Updated last month
- open science repo of "Neural Transfer Learning for Repairing Security Vulnerabilities in C Code" https://arxiv.org/pdf/2104.08308☆63Updated last year