adversarial prompt

ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation NeurIPS 2024 Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editing EMNLP 2024 Few-Shot Adversarial Prompt Learning on Vision-Language Models NeurIPS 2024 FLIRT: Feedback Loop In-context Red Teaming EMNLP 2024 GPT-4 Jailbreaks Itself with Near-Perfect Success Using Self-Explanation EMNLP 2024 GuardT2I: Defending Text-to-Image Models from Adversarial Prompts NeurIPS 2024 How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs ACL 2024 JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models NeurIPS 2024 Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters NeurIPS 2024 Many-shot Jailbreaking NeurIPS 2024 MART: Improving LLM Safety with Multi-round Automatic Red-Teaming NAACL 2024 Mission Impossible: A Statistical Perspective on Jailbreaking LLMs NeurIPS 2024 On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning AAAI 2024 PromptBench: A Unified Library for Evaluation of Large Language Models JMLR 2024 Prompts have evil twins EMNLP 2024 Protecting Your LLMs with Information Bottleneck NeurIPS 2024 Query-Based Adversarial Prompt Generation NeurIPS 2024 Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts NeurIPS 2024 Robust Safety Classifier Against Jailbreaking Attacks: Adversarial Prompt Shield NAACL 2024 TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification ACL 2024 UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models NeurIPS 2024 ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models EMNLP 2023 Attack Prompt Generation for Red Teaming and Defending Large Language Models EMNLP 2023 Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs Through a Global Prompt Hacking Competition EMNLP 2023