dherath / CFGExplainer
[code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Priti Prabhakar Wakodikar, Ping Yang and Guanhua Yan. In: IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) (2022)
☆33Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for CFGExplainer
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆78Updated 2 years ago
- A curated list of malware-related papers.☆22Updated 8 months ago
- An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malware Detection…☆50Updated 9 months ago
- 从Androzoo下载数据集，区分年份以及良性/恶意应用，支持协程、代理、断点继续、错误重试等☆43Updated last year
- Vulnerability Discovery with Function Representation Learning from Unlabeled Projects☆37Updated 6 years ago
- A novel and interpretable ML-based approach to classify malware with high accuracy and explain the classification result meanwhile.☆26Updated last year
- The official repository of "GraphSPD: Graph-Based Security Patch Detection with Enriched Code Semantics". The paper will appear in the IE…☆41Updated last year
- ☆16Updated 2 years ago
- ☆21Updated 4 years ago
- Discovering Malicious Functionality through Binary Reconstruction☆51Updated 3 years ago
- ☆23Updated 2 months ago
- The scalable bug search for binaries☆66Updated 7 years ago
- This is a benchmark for evaluating the vulnerability discovery ability of automated approaches including Large Language Models (LLMs), de…☆60Updated this week
- This is the official repository for VulHawk.☆65Updated last year
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆41Updated 2 years ago
- ☆66Updated last year
- ☆136Updated 6 years ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆67Updated 2 years ago
- This is a deep learning dataset for cross-version binary code similarity detection.☆25Updated 6 years ago
- ☆19Updated 11 months ago
- A deep learning-based vulnerability detection framework☆74Updated 8 months ago
- DeepWukong: Statically Detecting Software Vulnerabilities Using Deep Graph Neural Network☆89Updated 2 years ago
- revised☆20Updated 4 years ago
- ☆41Updated 5 years ago
- Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection☆68Updated last year
- ☆18Updated 10 months ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆18Updated 2 years ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆48Updated 6 months ago
- ☆88Updated 3 weeks ago
- VulExplainer: A Transformer-based Hierarchical Distillation for Explaining Vulnerability Types☆14Updated 11 months ago