arxivcs.CRcs.LG2026-06-27
FlipGuard: Defending Large Language Models Against Quantization-Conditioned Backdoor Attacks
Aoying Zheng, Anqi Du, Zizhuang Deng, Yuxuan Chen
Model quantization is essential for the efficient deployment of Large Language Models (LLMs), but introduces a critical vulnerability: Quantization-Conditioned Backdoor (QCB) attacks. In these attacks, malicious behaviors remain dormant in full-precision models and activate only…