TraceGuard: Process-Guided Firewall against Reasoning Backdoors in Large Language Models
TraceGuard introduces a reasoning-trace firewall that catches backdoors hidden inside intermediate inference steps of large reasoning models, where output-only guardrails fail.
Summary written by editorial AI · Source link below
arXiv:2603.02436v2 Announce Type: replace Abstract: Large Reasoning Models (LRMs) introduce a reasoning-level attack surface: adversaries can corrupt intermediate inferences while preserving a plausible trace and an apparently benign output. Existing output guardrails cannot reliably identify where such a trace first becomes unsupported. We present TraceGuard, a compact, locally deployable reasoning firewall that treats model-generated reasoning as untrusted input. Its design combines grounded
Editorial Analysis
As enterprises adopt chain-of-thought models, adversaries can corrupt reasoning steps while keeping outputs plausible; trace-level defences will become essential.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at arXiv Crypto & Security in a new tab.
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