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 4 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☆59Updated 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.☆74Updated 3 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…☆53Updated 8 months ago
- Effects of packers on machine-learning-based malware classifiers that use only static analysis☆89Updated last year
- Create adversarial attacks against machine learning Windows malware detectors☆242Updated last month
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆75Updated 3 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 …☆89Updated last year
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆14Updated 5 years ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆22Updated 3 years ago
- ☆32Updated 3 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆48Updated 4 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
- ☆42Updated 4 months ago
- ☆16Updated 4 years ago
- Dataset with labeled benign and malicious files 🗃️☆149Updated 2 years ago
- A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Drift☆15Updated 10 months ago
- Dataset containing thousands of malware and goodware collected in the Brazilian cyberspace over years.☆20Updated 5 years ago
- the instructions about request access to AdvDroidZero☆13Updated last year
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆34Updated last year
- ☆24Updated 5 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
- ☆18Updated last year
- AVClass malware labeling tool☆482Updated last year
- ☆20Updated 3 years ago
- A neural approach to malware detection in portable executables☆79Updated 2 years ago
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆93Updated 3 years ago
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆148Updated 2 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…☆94Updated 7 years ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆57Updated 2 years ago