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Paper · arXiv

Beyond the Prompt: Jailbreaking Function-Calling LLMs via Simulated Moderation Traces

Jailbreak attacks remain a critical threat to the safe deployment of large language models (LLMs). While prior work has primarily studied attacks and defenses at the prompt level, we show that this prompt-centric paradigm overlooks a structural vulnerability in stateful, function-calling environments. In such applications, developer-defined schemas, structured arguments, and untrusted tool outputs are interleaved into a single shared model context. This architecture expands the attack surface by blurring the boundary between trusted control logic and untrusted data, allowing adversarial intent to be distributed across a multi-turn execution path. We exploit this architectural flaw through...

AuthorsJunlong Liu, Haobo Wang, Weiqi Luo et al.
Primary categorycs.CR
Published1 July 2026
Last updated at source1 July 2026
cs.CRcs.AI
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