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ENTITY Quantization-Triggered Backdoors in Language Models: Cross-Quantizer Transferability and the Validation--Deployment Gap

Quantization-Triggered Backdoors in Language Models: Cross-Quantizer Transferability and the Validation--Deployment Gap

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  1. TOOL · CL_227055 ·

    New research reveals quantization-triggered backdoors in LLMs

    A new research paper details a security vulnerability in large language models (LLMs) where backdoors can be triggered by post-training quantization. The study formalizes this issue through Quantization Behavioral Equiv…