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Study Evaluates Reliability of Automated Judges for LLM Jailbreak Scoring
Researchers analyzed the accuracy of automated judges used to score attack-success rates (ASR) in LLM jailbreaks, comparing safety classifiers and prompted chat models against human-labeled data. The study highlights that these automated judges are rarely validated despite their widespread use in r...
Automated judges determine the reported success of jailbreak and prompt injection attacks on language models, influencing security assessments. Understanding their reliability is crucial for accurate evaluation of AI system vulnerabilities.
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Score 79
Source Type arxiv
Reposts 0
Topic Quality 58
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