Benign Fine-Tuning Can Activate Dormant Poisoning Attacks in AI Agents

Researchers from UNC Chapel Hill and Kyung Hee University revealed a 'dormant poisoning' threat where seemingly safe models can have hidden harmful behaviors activated by entirely benign fine-tuning, extending beyond text generation to multimodal agents. Their proposed LookAhead Defense cuts trigger rates from 93.9% to 3.5%.

2026-10-21 ~ 2026-10-21 · 2 related posts

1 near-duplicate retellings: mohitban47