Qiuchen Zhang

2 accepted papers

2025

Contrastive Unlearning: A Contrastive Approach to Machine Unlearning

Hong kyu Lee, Qiuchen Zhang, Carl Yang, Jian Lou, Li Xiong

IJCAI 2025

Machine unlearning aims to eliminate the influence of a subset of training samples (i.e., unlearning samples) from a trained model. Effectively and efficiently removing the unlearning samples without negatively impacting the overall model performance is challenging. Existing works mainly exploit inp

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2021

Private Stochastic Non-convex Optimization with Improved Utility Rates

Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong

IJCAI 2021poster

We study the differentially private (DP) stochastic nonconvex optimization with a focus on its under-studied utility measures in terms of the expected excess empirical and population risks. While the excess risks are extensively studied for convex optimization, they are rarely studied for nonconvex…

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