3 papers
cs.CR2026
Mask2Shield: Strengthening LLM Safety against Neuron-Pruning Attacks
Ying JinCheng, Minghui Xu, Yinhao Xiao +2
Large language models (LLMs) are safety-aligned before deployment to reduce harmful content generation. Yet neuron-level pruning attacks show that refusal can depend on a small set…
cs.CV2026
Bridging Diffusion Pruning and Step Distillation with Teacher-Aligned Repair
Jincheng Ying, Li Wenlin, Minghui Xu +1
Diffusion models generate high-quality images, but their inference cost comes from two sources: large denoising networks and repeated denoising steps. Existing compression pipeline…
cs.CV2026
Efficient Diffusion Distillation via Embedding Loss
Jincheng Ying, Yitao Chen, Li Wenlin +2
Recent advances in distilling expensive diffusion models into efficient few-step generators show significant promise. However, these methods typically demand substantial computatio…