Alexander-H-Liu / MalConv-PytorchLinks
Pytorch implementation of MalConv
☆72Updated 4 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:
- ☆80Updated 6 years ago
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆111Updated last year
- Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017☆130Updated 7 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…☆95Updated 7 years ago
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆76Updated 4 months ago
- Effects of packers on machine-learning-based malware classifiers that use only static analysis☆89Updated last year
- Malware Bypass Research using Reinforcement Learning☆107Updated last year
- ☆50Updated 9 years ago
- 2020 Machine Learning Security Evasion Competition☆49Updated 5 years ago
- Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf☆19Updated 7 years ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆75Updated 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 …☆92Updated last year
- Create adversarial attacks against machine learning Windows malware detectors☆242Updated 2 months ago
- A library for adversarial classifier evasion☆43Updated 11 years ago
- Discovering Malicious Functionality through Binary Reconstruction☆59Updated 4 years ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆56Updated 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…☆53Updated 9 months ago
- [AdvML@KDD 2019] Robust Malware Detection Challenge☆18Updated 6 years ago
- Malware Classification using Machine learning☆76Updated last year
- Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification☆172Updated 2 years ago
- Adversarial Malware Generator Using GANs☆54Updated last year
- RNN implementation with Keras for machine activity data to predict malware☆43Updated 2 years ago
- Transfer Learning for Image-Based Malware Classification☆46Updated 3 years ago
- IoT Security Reading List☆62Updated 5 years ago
- An implementation of the paper "ELF-Miner: Using Structural Knowledge and Data Mining Methods To Detect New (Linux) Malicious Executables…☆15Updated 7 years ago
- Dataset with labeled benign and malicious files 🗃️☆149Updated 2 years ago
- A malware family classification model based on CNN☆25Updated 3 years ago
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆78Updated 5 years ago
- On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542☆30Updated 4 years ago
- Forecasting Malware Capabilities From Cyber Attack Memory Images☆34Updated 3 years ago