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Qi-He Liu

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#machine learning Preprint Sep 2026

Robust Dynamic Expansion for Continual Learning under Backdoor Attacks via Purification and Selective Recovery

A robust dynamic-expansion framework that integrates sample purification, selective recovery, and robust expert routing into a unified continual learning paradigm is proposed, and Bi-Prototype Purification (BPP) is introduced to identify suspicious samples by exploiting semantic discrepancies in feature space.

Ke-Yu Lin, Fei Ye, Qi-He Liu et al. · 0 citations
Preprint Aug 2026

TempJail: Temporal Jailbreak Attack against Large Vision-Language Models via Subtitle Scheduling

Large vision-language models (LVLMs) have achieved remarkable progress in video understanding and reasoning. Despite extensive studies on text- and image-based jailbreaks, video jailbreaks against LVLMs remain largely unexplored. Existing video jailbreak methods mainly manipulate textual content embedded in videos, whi...

Ling Zhou, Yi-Hao Huang, Jing-Lin Sun et al. · 0 citations

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