wubozhi / Xmal
A novel and interpretable ML-based approach to classify malware with high accuracy and explain the classification result meanwhile.
☆27Updated 2 years ago
Alternatives and similar repositories for Xmal:
Users that are interested in Xmal are comparing it to the libraries listed below
- An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malware Detection…☆56Updated last year
- 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☆48Updated last year
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆85Updated 2 years ago
- A new version used Androguard but not Soot to realize MaMadroid。☆19Updated 4 years ago
- ☆21Updated 5 years ago
- A curated list of malware-related papers.☆27Updated last year
- the instructions about request access to AdvDroidZero☆11Updated last year
- A unified framework for AI-enhanced code analysis.☆9Updated last year
- ☆21Updated last year
- MalScan: Fast Market-Wide Mobile Malware Scanning by Social-Network Centrality Analysis☆43Updated 4 years ago
- Implementation of DeepIntent: Deep Icon-Behavior Learning for Detecting Intention-Behavior Discrepancy in Mobile Apps☆39Updated 3 years ago
- ☆11Updated 9 months ago
- Continuous Learning for Android Malware Detection (USENIX Security 2023)☆68Updated last year
- ☆37Updated 3 years ago
- [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Prit…☆34Updated 2 years ago
- ☆13Updated 3 years ago
- ☆16Updated 4 years ago
- Drebin - NDSS 2014 Re-implementation☆107Updated 7 years ago
- revised☆21Updated 4 years ago
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆143Updated last year
- adversarial malware detection via a principled way☆20Updated last year
- Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.☆38Updated 3 years ago
- ☆22Updated last year
- Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers☆58Updated 2 years ago
- Evaluation of ML models in Android malware classification, adversarial attacks on DNNs & defense mechanisms☆12Updated 5 years ago
- Harmonious Unification of Cacophonous Anti-Virus Vendor Labels for Android Malware☆47Updated 5 years ago
- ☆26Updated 6 months ago
- A Comprehensive Study of Learning-based Android Malware Detectors under Challenging Environments☆12Updated last year
- ☆20Updated last year
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆13Updated 4 years ago