3 papers
cs.CR2025
Purifying Approximate Differential Privacy with Randomized Post-processing
Yingyu Lin, Erchi Wang, Yi-An Ma +1
We propose a framework to convert -approximate Differential Privacy (DP) mechanisms into -pure DP mechanisms under certain conditions, a proce…
cs.CL2025
Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining Data
Haoran Deng, Yingyu Lin, Zhenghao Lin +4
Long-context language models unlock advanced capabilities in reasoning, code generation, and document summarization by leveraging dependencies across extended spans of text. Howeve…
cs.LG2025
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery
Yingyu Lin, Yuxing Huang, Wenqin Liu +6
Real-world data often violates the equal-variance assumption (homoscedasticity), making it essential to account for heteroscedastic noise in causal discovery. In this work, we expl…