pralab / secml_malwareLinks
Create adversarial attacks against machine learning Windows malware detectors
☆237Updated 3 weeks ago
Alternatives and similar repositories for secml_malware
Users that are interested in secml_malware are comparing it to the libraries listed below
Sorting:
- Malware Bypass Research using Reinforcement Learning☆106Updated last year
- Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon …☆85Updated last year
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆55Updated last year
- Dataset with labeled benign and malicious files 🗃️☆139Updated 2 years ago
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆71Updated 2 weeks ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆73Updated 3 years ago
- Command line tool for launching attacks against Machine Learning Malware detectors.☆18Updated 2 years ago
- Transformer Neural Network from Dynamic Malware Detection☆37Updated last year
- Effects of packers on machine-learning-based malware classifiers that use only static analysis☆87Updated 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…☆51Updated 6 months ago
- Malware Classification using Machine learning☆74Updated 11 months ago
- ☆79Updated 5 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…☆89Updated 6 years ago
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆249Updated 3 years ago
- 2020 Machine Learning Security Evasion Competition☆49Updated 5 years ago
- A neural approach to malware detection in portable executables☆79Updated 2 years ago
- Code library for the Tesseract framework from 'TESSERACT: Eliminating experimental bias in malware classification across space and time'☆15Updated 10 months ago
- ☆36Updated last year
- Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers☆59Updated 3 years ago
- Benign .NET files☆38Updated last year
- Adversarial Malware Generator Using GANs☆55Updated last year
- Pytorch implementation of MalConv☆71Updated 3 years ago
- Malware datasets tagged by behavior, platform, vulnerability, and packer☆25Updated last year
- Hybrid Machine Learning Model for Malware Detection based on Windows Kernel Emulation☆41Updated 2 years ago
- Discovering Malicious Functionality through Binary Reconstruction☆58Updated 4 years ago
- Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017☆128Updated 7 years ago
- ☆24Updated last year
- [AdvML@KDD 2019] Robust Malware Detection Challenge☆17Updated 5 years ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆13Updated 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…☆15Updated 3 years ago