Nov 15, 2023 · Implementing goal prioritization during inference substantially diminishes the Attack Success Rate (ASR) of jailbreaking from 66.4% to 3.6% for ...
Defending Large Language Models Against Jailbreaking Attacks ...
aclanthology.org › 2024.acl-long.481
Aug 15, 2024 · Implementing goal prioritization during inference substantially diminishes the Attack Success Rate (ASR) of jailbreaking from 66.4% to 3.6% for ...
Implementing goal prioritization during inference substantially diminishes the Attack Success Rate (ASR) of jailbreaking from 66.4% to 3.6% for ChatGPT. And ...
Nov 21, 2023 · This paper proposes a defense algorithm to mitigate jailbreaking attacks on LLMs. It works by first randomly perturbing the input prompt (via ...
Jun 11, 2024 · We propose a desiderata for defenses against jailbreaking attacks. Our desiderata comprises four properties: attack mitigation, non-conservatism ...
Nov 15, 2023 · Implementing goal prioritization during inference substantially diminishes the Attack Success Rate (ASR) of jailbreaking attacks, reducing it ...
Defending Large Language Models Against Jailbreaking Attacks
www.semanticscholar.org › paper › Smo...
SmoothLLM is the first algorithm designed to mitigate jailbreaking attacks, based on the finding that adversarially-generated prompts are brittle to character- ...
Despite advances in AI alignment, language models (LM) remain vulnerable to adversarial attacks or jailbreaking, in which adversaries modify input prompts ...
Implementing goal prioritization during inference substantially diminishes the Attack Success Rate (ASR) of jailbreaking from 66.4% to 3.6% for ChatGPT. And ...
This paper focuses on jailbreaking attacks against large language models (LLMs), eliciting them to generate objectionable content in response to harmful user ...