bitsecurerlab / 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.
☆15Updated 3 years ago
Alternatives and similar repositories for MAB-malware
Users that are interested in MAB-malware are comparing it to the libraries listed below
Sorting:
- Discovering Malicious Functionality through Binary Reconstruction☆58Updated 4 years ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆55Updated last year
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆73Updated 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 …☆87Updated last year
- Effects of packers on machine-learning-based malware classifiers that use only static analysis☆88Updated last year
- Create adversarial attacks against machine learning Windows malware detectors☆239Updated last month
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆14Updated 4 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…☆52Updated 6 months ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆22Updated 3 years ago
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆74Updated last month
- ☆31Updated 3 years ago
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆34Updated 11 months ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆47Updated 3 years ago
- ☆20Updated 3 years ago
- This is the implementation of MalConv proposed in [Malware Detection by Eating a Whole EXE](https://arxiv.org/abs/1710.09435) and its adv…☆91Updated 7 years ago
- ☆18Updated last year
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆251Updated 3 years ago
- AVClass malware labeling tool☆480Updated last year
- Dataset containing thousands of malware and goodware collected in the Brazilian cyberspace over years.☆20Updated 4 years ago
- ☆16Updated 4 years ago
- A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Drift☆15Updated 8 months ago
- ☆41Updated 2 months ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆57Updated 2 years ago
- Dataset with labeled benign and malicious files 🗃️☆140Updated 2 years ago
- A neural approach to malware detection in portable executables☆80Updated 2 years ago
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆110Updated last year
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆148Updated last year
- 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…☆35Updated 4 years ago
- ☆11Updated last year
- Harmonious Unification of Cacophonous Anti-Virus Vendor Labels for Android Malware☆51Updated 6 years ago