malware_rl
Malware evasion research
Enabling research into malware bypass using reinforcement learning environments
Malware Bypass Research using Reinforcement Learning
102 stars
8 watching
20 forks
Language: Python
last commit: over 2 years agomalware-bypassreinforcement-learningreinforcement-learning-environments
Related projects:
| Repository | Description | Stars |
|---|---|---|
 weisong-ucr/mab-malware | An open-source reinforcement learning framework to generate adversarial examples for malware classification models. | 41 |
 juliareinforcementlearning/reinforcementlearninganintroduction.jl | Provides Julia code to generate figures and examples for an introductory reinforcement learning book | 309 |
 airbnb/binaryalert | Real-time malware detection and alert system for AWS S3 files | 1,415 |
 accidentalrebel/mbcscan | Analyzes malware behavior and maps it to a Malware Behavior Catalog for better understanding | 20 |
 rll-research/url_benchmark | A benchmark suite for unsupervised reinforcement learning agents, providing pre-trained models and scripts for testing and fine-tuning agent performance. | 335 |
 araffin/rl-tutorial-jnrr19 | A tutorial project providing an introduction to reinforcement learning with Stable Baselines3 | 620 |
 horizonrobotics/alf | A framework for implementing complex reinforcement learning algorithms with flexibility and ease of implementation | 306 |
 sarvagyavaish/flappybirdrl | Flappy Bird hack using Reinforcement Learning | 918 |
 fuxiailab/rl4rs | A collection of real-world datasets and practical reinforcement learning baselines for recommendation systems. | 220 |
 13o-bbr-bbq/machine_learning_security | An open-source project that explores the intersection of machine learning and security to develop tools for detecting vulnerabilities in web applications. | 1,987 |
 pku-alignment/safety-gymnasium | A unified benchmark for safe reinforcement learning algorithms and environments. | 410 |
 marcoramilli/malwaretrainingsets | Provides machine learning datasets for malware analysis | 227 |
 borealisai/advertorch | A toolbox for researching and evaluating robustness against attacks on machine learning models | 1,311 |
 alex-petrenko/sample-factory | A high-throughput reinforcement learning library with optimized synchronous and asynchronous implementations of policy gradients. | 839 |
 farama-foundation/d4rl | A collection of standardized environments and datasets for training and benchmarking algorithms in offline reinforcement learning | 1,371 |