attack success rate

CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models EMNLP 2024 CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference EMNLP 2024 DA3: A Distribution-Aware Adversarial Attack against Language Models EMNLP 2024 Data Poisoning based Backdoor Attacks to Contrastive Learning CVPR 2024 Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization ACL 2024 Does Few-Shot Learning Suffer from Backdoor Attacks? AAAI 2024 InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance EMNLP 2024 Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers CVPR 2024 R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model ECCV 2024 Scaling Behavior of Machine Translation with Large Language Models under Prompt Injection Attacks EACL 2024 Beating Backdoor Attack at Its Own Game ICCV 2023 How to Choose your Best Allies for a Transferable Attack? ICCV 2023 LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference EMNLP 2023 Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples ICLR 2023 SemAttack: Natural Textual Attacks via Different Semantic Spaces NAACL 2022 Reevaluating Adversarial Examples in Natural Language EMNLP 2020