#Adversarial-machine-learning
Showing 34 of 34 repositories tagged #adversarial-machine-learning, ranked by stars
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
The Security Toolkit for LLM Interactions
A curated list of useful resources that cover Offensive AI.
A Toolbox for Adversarial Robustness Research
A curated list of adversarial attacks and defenses papers on graph-structured data.
Papers and resources related to the security and privacy of LLMs 🤖
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
A curated list of trustworthy deep learning papers. Continually updating...
Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
Hack AI/ML applications — CTF challenges for model attacks, LLMs and AI Agent exploitation.
A Python library for Secure and Explainable Machine Learning
This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON
A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).
Adversarial Machine Learning (AML) Capture the Flag (CTF)
[IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik Hemberg, Una-May O’Reilly
scratchai is a Deep Learning library that aims to store all Deep Learning algorithms. With easy calls to do all the common tasks in AI.
Plausible looking adversarial examples for text classification
A repository to quickly generate synthetic data and associated trojaned deep learning models
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
A simple GUI tool for generating adversarial poses of objects.
Generalized Data-free Universal Adversarial Perturbations
Official implementation of paper: DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers
Robustness benchmark for DNN models.
6G Wireless Communication Security - Deep Learning Based Channel Estimation Dataset
This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.
Athena: A Framework for Defending Machine Learning Systems Against Adversarial Attacks
High-fidelity Claude Fable 5 (Mythos) environment emulation and automated multi-agent jailbreak (Pack Hunt) research laboratory.
A beginner friendly repository for getting started with adversarial machine learning in PyTorch
This repository contain the tool LLMalMorph, a semi automated tool that utilize Large Language Models(LLMs) to generate malware variants from existing malware source code with prompt engineering
A curated list of awesome AML attacks and defences frameworks and resources.