lzylucy / Malware-GAN-attack
We implement MalGAN to attack several PDF classifiers and evaluate the robustness of those models.
☆23Updated 2 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
- On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542☆29Updated 3 years ago
- Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers☆57Updated 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…☆41Updated last year
- Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017☆117Updated 6 years ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆48Updated 8 months ago
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆105Updated 5 months ago
- Adversarial Malware Generator Using GANs☆52Updated 5 months 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
- 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…☆31Updated 3 years ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆69Updated 2 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
- Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon …☆75Updated 9 months ago
- Discovering Malicious Functionality through Binary Reconstruction☆51Updated 3 years ago
- ☆11Updated 6 months ago
- ☆18Updated last year
- adversarial malware detection via a principled way☆19Updated last year
- Create adversarial attacks against machine learning Windows malware detectors☆210Updated last month
- ☆15Updated 3 years ago
- ☆27Updated 4 years ago
- Drebin - NDSS 2014 Re-implementation☆105Updated 7 years ago
- ☆76Updated 5 years ago
- ☆15Updated 3 years ago
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆132Updated last year
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆135Updated last year
- ☆34Updated 5 months ago
- Malware detection using the Drebin dataset☆21Updated last year
- Malware Classification using Machine learning☆70Updated 2 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