lzylucy / Malware-GAN-attackLinks
We implement MalGAN to attack several PDF classifiers and evaluate the robustness of those models.
☆26Updated 3 years ago
Alternatives and similar repositories for Malware-GAN-attack
Users that are interested in Malware-GAN-attack are comparing it to the libraries listed below
Sorting:
- Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017☆128Updated 7 years ago
- On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542☆30Updated 3 years ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆57Updated 2 years ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆55Updated last year
- 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
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆73Updated 3 years 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…☆35Updated 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 …☆87Updated last year
- Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers☆59Updated 3 years ago
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆109Updated last year
- Create adversarial attacks against machine learning Windows malware detectors☆239Updated last month
- Continuous Learning for Android Malware Detection (USENIX Security 2023)☆73Updated 2 years ago
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆148Updated last year
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆144Updated 2 years ago
- Adversarial Malware Generator Using GANs☆55Updated last year
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆74Updated last month
- ☆36Updated last year
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆249Updated 3 years ago
- ☆25Updated 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…☆91Updated 7 years ago
- ☆24Updated 3 months ago
- Dataset with labeled benign and malicious files 🗃️☆140Updated 2 years ago
- Malware Classification using Machine learning☆74Updated last year
- [AdvML@KDD 2019] Robust Malware Detection Challenge☆17Updated 5 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆47Updated 3 years ago
- Drebin - NDSS 2014 Re-implementation☆106Updated 7 years ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆22Updated 3 years ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆14Updated 4 years ago
- ☆31Updated 3 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