adversarial-machine-learning

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/

ChatGPT Jailbreaks, GPT Assistants Prompt Leaks, GPTs Prompt Injection, LLM Prompt Security, Super Prompts, Prompt Hack, Prompt Security, Ai Prompt Engineering, Adversarial Machine Learning.

The Security Toolkit for LLM Interactions

A Toolbox for Adversarial Robustness Research

A curated list of useful resources that cover Offensive AI.

A curated list of adversarial attacks and defenses papers on graph-structured data.

RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]

T2F: text to face generation using Deep Learning

Unofficial PyTorch implementation of the paper titled "Progressive growing of GANs for improved Quality, Stability, and Variation"

Papers and resources related to the security and privacy of LLMs 🤖

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

GraphGallery is a gallery for benchmarking Graph Neural Networks

⚡ Vigil ⚡ Detect prompt injections, jailbreaks, and other potentially risky Large Language Model (LLM) inputs

Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)

Provable adversarial robustness at ImageNet scale

TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.

A curated list of trustworthy deep learning papers. Daily updating...

Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.