weisong-ucr / MAB-malware
MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-armed bandit (MAB) problem, by treating each action-content pair as an independent slot machine.
☆40Updated last year
Related projects ⓘ
Alternatives and complementary repositories for MAB-malware
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆67Updated 2 years ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆47Updated 5 months ago
- Discovering Malicious Functionality through Binary Reconstruction☆51Updated 3 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆41Updated 2 years ago
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆59Updated 3 years ago
- Malware Bypass Research using Reinforcement Learning☆102Updated 6 months ago
- Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon …☆73Updated 7 months ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆18Updated 2 years ago
- [AdvML@KDD 2019] Robust Malware Detection Challenge☆17Updated 4 years ago
- ☆14Updated 3 years ago
- Create adversarial attacks against machine learning Windows malware detectors☆205Updated 3 months ago
- Few-Shot malware classification using fused features of static analysis and dynamic analysis (基于静态+动态分析的混合特征的小样本恶意代码分类框架)☆28Updated 2 years ago
- On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542☆29Updated 2 years ago
- Malware Classification using Machine learning☆69Updated this week
- ☆74Updated 4 years ago
- Additional code and data for the automated malware generation paper☆12Updated 6 months ago
- 主题为”基于GAN的恶意软件对抗样本生成“。首先介绍了恶意软件发展现状,引出基于模式匹配、特征空间和问题空间三种方式去检测恶意软件。然后介绍了如何生成对抗样本攻击恶意软件检测器,详细介绍了基于GAN的恶意软件对抗样本的MalGAN框架,并对实验结果进行了对比。最后总结了结构…☆31Updated 3 years ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆12Updated 3 years ago
- A curated list of malware-related papers.☆21Updated 8 months ago
- Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers☆56Updated 2 years ago
- ☆27Updated 2 years ago
- Effects of packers on machine-learning-based malware classifiers that use only static analysis☆83Updated 4 months ago
- Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf☆17Updated 6 years ago
- ☆18Updated 3 years ago
- Defense from the 2020 Microsoft Evasion Competition☆16Updated 3 years ago
- ☆27Updated 4 years ago
- ☆21Updated 4 years ago
- Continuous Learning for Android Malware Detection (USENIX Security 2023)☆58Updated last year
- This is the implementation of MalConv proposed in [Malware Detection by Eating a Whole EXE](https://arxiv.org/abs/1710.09435) and its adv…☆81Updated 6 years 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☆42Updated last year