arXiv:2611.00138v1 Announce Type: new Abstract: Existing large language model (LLM) backdoor attacks operate primarily in chat settings, where the risk is bounded by free-form text outputs. AI agents remove that bound by performing actions and executing commands on the user's machine. We introduce structured-output backdoor attacks against reasoning models in agentic coding settings.
Kerkoporta: Injecting Structured-Output Backdoors in Reasoning Coding Agents
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