Evidence record 3254 · automatically gathered

Patcher: Post-Hoc Patching of Backdoored Large Language Models

Large language models remain vulnerable to jailbreak backdoor attacks, where adversaries poison safety alignment data to embed hidden triggers that bypass safety mechanisms. Existing defenses often require comprehensive attack information or multiple triggered examples, making them impractical when defenders only observe a single reported failure case without knowing whether it stems from a backdoor attack or a natural alignment bug. This paper presents Patcher, a post-hoc defense framework that

Record details

Published: 2 June 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Military & security
Retrieved: 14 July 2026

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ethics.ai (2 June 2026), “Patcher: Post-Hoc Patching of Backdoored Large Language Models,” evidence record 3254, https://ethics.ai/record/3254 (originally published by arXiv).

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