Alexander-H-Liu / MalConv-PytorchLinks
Pytorch implementation of MalConv
☆71Updated 3 years ago
Alternatives and similar repositories for MalConv-Pytorch
Users that are interested in MalConv-Pytorch are comparing it to the libraries listed below
Sorting:
- ☆79Updated 5 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
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆70Updated 4 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
- Effects of packers on machine-learning-based malware classifiers that use only static analysis☆87Updated last year
- Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017☆127Updated 7 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 …☆85Updated last year
- ☆50Updated 9 years ago
- 2020 Machine Learning Security Evasion Competition☆49Updated 5 years ago
- Malware Bypass Research using Reinforcement Learning☆106Updated last year
- Create adversarial attacks against machine learning Windows malware detectors☆234Updated 2 months ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆71Updated 3 years ago
- Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification☆173Updated 2 years ago
- Adversarial Malware Generator Using GANs☆55Updated last year
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆80Updated 5 years ago
- A library for adversarial classifier evasion☆43Updated 10 years ago
- Malware Detection and Classification Using Machine Learning☆341Updated 8 years ago
- Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf☆18Updated 7 years ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆54Updated last year
- Discovering Malicious Functionality through Binary Reconstruction☆57Updated 4 years ago
- Transfer Learning for Image-Based Malware Classification☆45Updated 3 years ago
- Dataset containing thousands of malware and goodware collected in the Brazilian cyberspace over years.☆20Updated 4 years ago
- RNN implementation with Keras for machine activity data to predict malware☆42Updated last year
- Dataset with labeled benign and malicious files 🗃️☆133Updated 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…☆50Updated 5 months ago
- ☆13Updated 7 years ago
- Malware Classification using Machine learning☆72Updated 10 months ago
- [AdvML@KDD 2019] Robust Malware Detection Challenge☆17Updated 5 years ago
- A neural approach to malware detection in portable executables☆79Updated 2 years ago
- IoT Security Reading List☆63Updated 5 years ago