arXiv:2610.07723v1 Announce Type: new Abstract: Safety alignment in Large Language Models (LLMs) remains vulnerable to backdoor attacks. Existing LLM backdoors are almost all input-centric: activation depends on explicit trigger patterns in the user input, so modern guardrails are built to sanitize the input space. We challenge this assumption with a novel answer-side backdoor for multi-turn dialogue.
The Model Plants the Trigger: Answer-Side Backdoor Attacks in Multi-Turn Large Language Models
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