arxiv
PublishedSeptember 1, 2026 at 4:00 AM
Watch your steps: Dormant Adversarial Behaviors that Activate upon LLM Finetuning
Publisher summary· verbatim
arXiv:2505.16567v4 Announce Type: replace-cross Abstract: Finetuning open-weight Large Language Models (LLMs) is standard practice for achieving task-specific performance improvements. Until now, finetuning has been regarded as a controlled and secure process in which training on benign datasets lea
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivCulturalMenuBench: Probing the Knowledge-Application Gap in Multimodal Culinary Reasoning4harxivProactive Service Agents: A Unified Decision Framework, Methods, and Evaluation4harxivX-Translator: A Real-Time Multilingual Speaker-Aware Speech-to-Speech Translation System4harxivA Blind Trust, the Bloody Thrust: When Attacker-Controlled Hook Updates Steer AI Agent Harnesses towards Malicious Behaviors4hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗