weisong-ucr / MAB-malwareLinks
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.
☆53Updated 8 months ago
Alternatives and similar repositories for MAB-malware
Users that are interested in MAB-malware are comparing it to the libraries listed below
Sorting:
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆74Updated 3 years ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆55Updated last year
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆48Updated 4 years ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆22Updated 3 years 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 …☆89Updated last year
- Discovering Malicious Functionality through Binary Reconstruction☆59Updated 4 years ago
- A curated list of malware-related papers.☆34Updated last year
- Create adversarial attacks against machine learning Windows malware detectors☆242Updated last month
- Additional code and data for the automated malware generation paper☆13Updated last year
- On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542☆30Updated 4 years ago
- ☆32Updated 3 years ago
- Effects of packers on machine-learning-based malware classifiers that use only static analysis☆89Updated last year
- Continuous Learning for Android Malware Detection (USENIX Security 2023)☆73Updated 2 years ago
- Malware Bypass Research using Reinforcement Learning☆107Updated last year
- ☆16Updated 4 years ago
- ☆11Updated last year
- 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)☆34Updated 4 years ago
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆75Updated 3 months ago
- 基于深度学习的恶意软件检测研究;MalConv;☆115Updated 3 years ago
- Dataset with labeled benign and malicious files 🗃️☆148Updated 2 years ago
- Malware Classification using Machine learning☆75Updated last year
- [AdvML@KDD 2019] Robust Malware Detection Challenge☆17Updated 6 years ago
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆254Updated 4 years ago
- Official Repository of "Robust Malware Classification via Deep Graph Networks on Call Graph Topologies" (ESANN 2021)☆14Updated 2 years ago
- MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-arme…☆15Updated 4 years ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆14Updated 5 years ago
- A neural approach to malware detection in portable executables☆79Updated 2 years ago
- ☆27Updated last year
- This is the official repository for VulHawk.☆74Updated 2 years ago
- Transformer Neural Network from Dynamic Malware Detection☆38Updated last month