27 citations · 40 across the 16 of their papers we have counts for
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cs.CR2025
Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment
Hao Li, Lijun Li, Zhenghao Lu +4
With rapid advancement and increasing accessibility of LLMs, fine-tuning aligned models has become a critical step for adapting them to real-world applications, which makes the saf…
cs.LG2025
Lipschitz Constant Meets Condition Number: Learning Robust and Compact Deep Neural Networks
Yangqi Feng, Shing-Ho J. Lin, Baoyuan Gao +1
Recent research has revealed that high compression of Deep Neural Networks (DNNs), e.g., massive pruning of the weight matrix of a DNN, leads to a severe drop in accuracy and susce…