JailFlipBench and JailFlip attacks show that leading LLMs can be made to answer benign-looking questions with plausible but factually wrong and dangerous responses.
Universal language model fine-tuning for text classifica- tion, 2018
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Beyond Jailbreaks: Revealing Stealthier and Broader LLM Security Risks Stemming from Alignment Failures
JailFlipBench and JailFlip attacks show that leading LLMs can be made to answer benign-looking questions with plausible but factually wrong and dangerous responses.