Official PyTorch implementation of "Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization" (ICML'22)

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

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

[USENIX Security 2025] PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models

CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation

A Model for Natural Language Attack on Text Classification and Inference

ACL 2021 - Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble