adversarial-attacks

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Adversary Emulation Framework

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Data augmentation for NLP

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

A unified evaluation framework for large language models

PyTorch implementation of adversarial attacks [torchattacks]

A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).

Raising the Cost of Malicious AI-Powered Image Editing

PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks. 🏆 Best Paper Awards @ NeurIPS ML Safety Workshop 2022

Anti-DreamBooth: Protecting users from personalized text-to-image synthesis (ICCV 2023)

[ICLR 2025] Dissecting adversarial robustness of multimodal language model agents

The official implementation of ECCV'24 paper "To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now". This work introduces one fast and effective attack method to evaluate the harmful-content generation ability of safety-driven unlearned diffusion models.

Make Music Unlearnable for Generative AI.

An ASR (Automatic Speech Recognition) adversarial attack repository.

AI Firewall & LLM security toolkit - protect your AI applications from prompt injection, jailbreaks, PII leakage, and adversarial attacks

Repo for papers to read on adversarial attack and defense techniques in the audio domain.

Sparse Autoencoders (SAE) vs CLIP fine-tuning fun.