pwwl / enhanced-binary-diversification
Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"
☆49Updated 9 months ago
Alternatives and similar repositories for enhanced-binary-diversification:
Users that are interested in enhanced-binary-diversification are comparing it to the libraries listed below
- DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)☆12Updated 9 months ago
- MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-arme…☆42Updated last year
- ☆11Updated 7 months ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆69Updated 2 years ago
- Discovering Malicious Functionality through Binary Reconstruction☆52Updated 3 years ago
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆62Updated 4 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆43Updated 3 years ago
- ☆18Updated last year
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆12Updated 4 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 …☆76Updated 10 months ago
- Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers☆57Updated 2 years ago
- the instructions about request access to AdvDroidZero☆10Updated 10 months ago
- ☆15Updated 3 years ago
- ☆28Updated 2 years ago
- ☆19Updated 11 months ago
- Create adversarial attacks against machine learning Windows malware detectors☆214Updated 2 weeks ago
- On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542☆29Updated 3 years ago
- A curated list of malware-related papers.☆23Updated 11 months ago
- A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Drift☆11Updated 3 weeks ago
- adversarial malware detection via a principled way☆19Updated last year
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆20Updated 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…☆14Updated 3 years ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆55Updated last year
- [AdvML@KDD 2019] Robust Malware Detection Challenge☆17Updated 5 years ago
- A unified framework for AI-enhanced code analysis.☆9Updated last year
- An RNN-based framework to evade opensource anti-virus which is also deep learning-based. E.g., MalConv and Non-Negative MalConv.☆12Updated 4 years ago
- ☆17Updated 2 years ago
- Continuous Learning for Android Malware Detection (USENIX Security 2023)☆63Updated last year
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆105Updated 6 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）☆29Updated 3 years ago