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cs.CR2025
Progressive Behavioral Drift through Compression Valleys in Large Language Models
Zhiyuan Xu, Stanislav Abaimov, Joseph Gardiner +1
We show that attention sinks and compression valleys create a vulnerable region in decoder-only Transformers, where small activation perturbations can be amplified through the auto…
cs.CR2025★ 1 cited
The dark deep side of DeepSeek: Fine-tuning attacks against the safety alignment of CoT-enabled models
Zhiyuan Xu, Joseph Gardiner, Sana Belguith
Large language models are typically trained on vast amounts of data during the pre-training phase, which may include some potentially harmful information. Fine-tuning attacks can e…