Quantization-triggered backdoors in language models: cross-quantizer transferability and the validation–deployment gap
Read the original at arxiv.org→arXiv:2608.27512v1 Announce Type: new Abstract: Post-training quantization is often treated as a semantically neutral optimization for edge deployment of Large Language Models. When a full-precision source...
Original headline: "Quantization-Triggered Backdoors in Language Models: Cross-Quantizer Transferability and the Validation--Deployment Gap"
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- Aug 31, 04:00 UTC arXiv cs.LG lead source Quantization-Triggered Backdoors in Language Models: Cross-Quantizer Transferability and the Validation--Deployment Gap