pralab / secml_malware
Create adversarial attacks against machine learning Windows malware detectors
☆214Updated 2 weeks ago
Alternatives and similar repositories for secml_malware:
Users that are interested in secml_malware are comparing it to the libraries listed below
- Malware Bypass Research using Reinforcement Learning☆103Updated 9 months ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆69Updated 2 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 AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆49Updated 9 months ago
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆62Updated 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…☆42Updated last year
- Effects of packers on machine-learning-based malware classifiers that use only static analysis☆84Updated 7 months ago
- ☆77Updated 5 years ago
- Command line tool for launching attacks against Machine Learning Malware detectors.☆18Updated last year
- Dataset with labeled benign and malicious files 🗃️☆110Updated last year
- 2020 Machine Learning Security Evasion Competition☆49Updated 4 years ago
- [AdvML@KDD 2019] Robust Malware Detection Challenge☆17Updated 5 years ago
- Discovering Malicious Functionality through Binary Reconstruction☆52Updated 3 years ago
- Hybrid Machine Learning Model for Malware Detection based on Windows Kernel Emulation☆37Updated last year
- ☆28Updated 2 years ago
- [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
- Transformer Neural Network from Dynamic Malware Detection☆27Updated 7 months ago
- Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers☆57Updated 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…☆84Updated 6 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
- Benign .NET files☆31Updated 5 months ago
- Adversarial Malware Generator Using GANs☆52Updated 6 months ago
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆239Updated 3 years ago
- A neural approach to malware detection in portable executables☆79Updated last year
- Malware datasets tagged by behavior, platform, vulnerability, and packer☆21Updated 11 months ago
- A curated dataset of malware and benign Windows executable samples for malware researchers☆41Updated 4 months ago
- A Malware classifier dataset built with header fields’ values of Portable Executable files☆90Updated 2 years ago
- DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)☆12Updated 9 months ago
- Malware Classification using Machine learning☆71Updated 3 months 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