Create adversarial attacks against machine learning Windows malware detectors
☆251Nov 27, 2025Updated 9 months ago
Alternatives and similar repositories for secml_malware
Users that are interested in secml_malware are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆78Sep 2, 2022Updated 4 years ago
- Malware Bypass Research using Reinforcement Learning☆109Apr 22, 2024Updated 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…☆53Apr 15, 2025Updated last year
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆57May 14, 2024Updated 2 years ago
- A Python library for Secure and Explainable Machine Learning☆192Jun 23, 2025Updated last year
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Command line tool for launching attacks against Machine Learning Malware detectors.☆19Jun 18, 2023Updated 3 years ago
- DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)☆16Apr 22, 2024Updated 2 years ago
- Effects of packers on machine-learning-based malware classifiers that use only static analysis☆90Jun 17, 2024Updated 2 years ago
- Defense from the 2020 Microsoft Evasion Competition☆17Apr 27, 2021Updated 5 years ago
- Elastic Malware Benchmark for Empowering Researchers☆1,170Nov 22, 2024Updated last year
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆79Oct 8, 2025Updated 11 months ago
- Transformer Neural Network for Dynamic Malware Detection☆42Mar 5, 2026Updated 6 months ago
- ☆82Dec 6, 2019Updated 6 years ago
- ☆635Nov 21, 2022Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers☆60Apr 29, 2022Updated 4 years ago
- Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf☆18May 21, 2018Updated 8 years ago
- ☆33Jul 22, 2022Updated 4 years ago
- Framework for Adversarial Malware Evaluation.☆36Mar 31, 2025Updated last year
- Sophos-ReversingLabs 20 million sample dataset☆710Apr 7, 2021Updated 5 years ago
- Dataset with labeled benign and malicious files 🗃️☆162Jul 19, 2023Updated 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…☆41Jul 25, 2021Updated 5 years ago
- Hybrid Machine Learning Model for Malware Detection based on Windows Kernel Emulation☆41Apr 24, 2023Updated 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…☆97Nov 1, 2018Updated 7 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon …☆98Jul 13, 2026Updated 2 months ago
- Gadget displacement on top of IPR (In-Place Randomization) against Code Reuse Attack☆26May 31, 2016Updated 10 years ago
- Additional code and data for the automated malware generation paper☆13May 21, 2026Updated 3 months ago
- SecML-Torch: A Library for Robustness Evaluation of Deep Learning Models☆111Jul 8, 2026Updated 2 months ago
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆110Jul 25, 2024Updated 2 years ago
- Repository for the evaluation of the transferabiilty of adversarial examples.☆22Nov 25, 2025Updated 9 months ago
- Pytorch implementation of MalConv☆72Feb 1, 2022Updated 4 years ago
- ☆31Jan 17, 2024Updated 2 years ago
- ☆21Nov 6, 2025Updated 10 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆22Mar 17, 2022Updated 4 years ago
- A neural approach to malware detection in portable executables☆81Mar 20, 2023Updated 3 years ago
- ☆22Sep 5, 2022Updated 4 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆53Jan 10, 2022Updated 4 years ago
- 基于深度学习的恶意软件检测研究；MalConv;☆120Jun 22, 2022Updated 4 years ago
- Scans a malware file and lists down the related MBC (Malware Behavior Catalog) details.☆23Jul 11, 2022Updated 4 years ago
- Dataset containing thousands of malware and goodware collected in the Brazilian cyberspace over years.☆23Nov 30, 2020Updated 5 years ago