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All-in-One: A Composable Attack on LLM Transformations

This story is from 2026-10-27. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2610.33298v1 Announce Type: new Abstract: Quantization, pruning, and model merging are popular transformations applied to deployment-ready LLMs to improve efficiency and downstream performance. Recent work has shown that these transformations can introduce a security threat: an adversary can…

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  1. 2026-10-27 04:00 · arXiv cs.LG
    All-in-One: A Composable Attack on LLM Transformations

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