Erchi Wang

According to our database, Erchi Wang authored at least 5 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy.

Erchi Wang, Pengrun Huang, Eli Chien, Om Thakkar, Kamalika Chaudhuri, Yu-Xiang Wang, Ruihan Wu

CoRR, April, 2026

2025

Private-RAG: Answering Multiple Queries with LLMs while Keeping Your Data Private.

Ruihan Wu, Erchi Wang, Zhiyuan Zhang, Yu-Xiang Wang

CoRR, November, 2025

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning.

Erchi Wang, Yuqing Zhu, Yuxiang Wang

CoRR, May, 2025

Purifying Approximate Differential Privacy with Randomized Post-processing.

Yingyu Lin, Erchi Wang, Yi-An Ma, Yu-Xiang Wang

CoRR, March, 2025

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning.

Erchi Wang, Yuqing Zhu, Yu-Xiang Wang

Proceedings of the Forty-second International Conference on Machine Learning, 2025