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Trusted Weights, Treacherous Optimizations? Optimization-Triggered Backdoor Attacks on LLMs
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
New research demonstrates that numerical inconsistencies in LLM inference optimizations can be exploited to trigger hidden backdoors.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 2 October 2026
- Collected by OneBench
- 3 Oct 2026, 03:02 UK
Stored source excerpt
arXiv:2605.20641v2 Announce Type: replace-cross Abstract: Inference optimization aims to minimize the latency and resource consumption of LLM inference while preserving output quality, making large-scale deployment…
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