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Agentharm: A benchmark for measuring harmfulness of llm agents
The robustness of LLMs to jailbreak attacks, where users design prompts to circumvent
safety measures and misuse model capabilities, has been studied primarily for LLMs acting …
safety measures and misuse model capabilities, has been studied primarily for LLMs acting …
Jigsaw Puzzles: Splitting Harmful Questions to Jailbreak Large Language Models
Large language models (LLMs) have exhibited outstanding performance in engaging with
humans and addressing complex questions by leveraging their vast implicit knowledge and …
humans and addressing complex questions by leveraging their vast implicit knowledge and …
You Know What I'm Saying: Jailbreak Attack via Implicit Reference
While recent advancements in large language model (LLM) alignment have enabled the
effective identification of malicious objectives involving scene nesting and keyword rewriting …
effective identification of malicious objectives involving scene nesting and keyword rewriting …