Quantization May Introduce Backdoors in Language Models, Study Finds

2026-09-01

Research published on arXiv.org highlights a "validation-deployment gap" where post-training quantization of language models can introduce hidden backdoors. This gap arises because source-precision evaluation does not guarantee behavioral equivalence after quantization.

Source: arXiv · cs.LG

Reported by VERA Newswire.