The paper claims that prompting LLMs to infer and enrich implicit presuppositions bypasses safety alignment and yields high attack success on bias, hate, and unsafe-code benchmarks.
InFind- ings of the Association for Computational Linguistics: ACL 2024, pages 12075–12097, Bangkok, Thailand
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Pragmatic Attack Surface: Vulnerabilities of Implicit Context in Large Language Models
The paper claims that prompting LLMs to infer and enrich implicit presuppositions bypasses safety alignment and yields high attack success on bias, hate, and unsafe-code benchmarks.