Publications

One day.

Understanding and Mitigating Cross-lingual Privacy Leakage via Language-specific and Universal Privacy Neurons
Wenshuo Dong, Qingsong Yang, Shu Yang, Lijie Hu, Meng Ding, Wanyu Lin, Tianhang Zheng, Di Wang

In-Run Data Shapley for Adam Optimizer
Meng Ding*, Zeqing Zhang*, Di Wang, Lijie Hu.

Understanding the Impact of Differentially Private Training on Memorization of Long-Tailed Data
Jiaming Zhang*, Huanyi Xie*, Meng Ding, Shaopeng Fu, Jinyan Liu, Di Wang.
ICLR 2026 DATA-FM Workshop;

Differentially Private Sparse Reward Estimation with Preference Feedback
Meng Ding, Mingxi Lei, Jie Zhang, Jinyan Liu, Di Wang.
Short version accepted to TPDP 2026;

Benign Overfitting in Adversarial Training for Vision Transformers
Jiaming Zhang, Meng Ding, Shaopeng Fu, Jingfeng Zhang, Di Wang.
ICML2026, ICLR 2026 DATA-FM Workshop;

Understanding Generalization and Forgetting in In-Context Continual Learning
Guangyu Li, Meng Ding, Lijie Hu.
ICML 2026;

Differentially Private Non-convex Distributionally Robust Optimization
Difei Xu, Youming Tao, Meng Ding, Chenglin Fan, Di Wang.
ICML 2026;

Understanding Private Learning From Feature Perspective
Meng Ding, Mingxi Lei, Shaopeng Fu, Shaowei Wang, Di Wang, Jinhui Xu.
ICML 2026, short version accepted to TPDP 2025;

Black-box Optimization of LLM Outputs by Asking for Directions
Jie Zhang, Meng Ding, Yang Liu, Jue Hong, Florian Tramèr.
ICLR Trustworthy AI workshop 2026, Oral;

Evaluating Data Influence in Meta Learning
Chenyang Ren, Huanyi Xie, Shu Yang, Meng Ding, Lijie Hu, Di Wang.
ICLR 2026;

Provable Effects of Data Replay in Continual Learning: A Feature Learning Perspective
Meng Ding, Jinhui Xu, Kaiyi Ji.
AISTATS 2026;

Understanding Fine-tuning in Approximate Unlearning: A Theoretical Perspective
Meng Ding, Rohan Sharma, Changyou Chen, Jinhui Xu, Kaiyi Ji.
TMLR 2025;

Towards User-level Private Reinforcement Learning with Human Feedback
Jiaming Zhang*, Mingxi Lei*, Meng Ding, Mengdi Li, Zihang Xiang, Difei Xu, Jinhui Xu, Di Wang.
CoLM 2025;

Nearly Optimal Differentially Private ReLU Regression
Meng Ding, Mingxi Lei, Shaowei Wang, Tianhang Zheng, Di Wang, Jinhui Xu.
UAI 2025;

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram.
Mingxi Lei, Chunwei Ma, Meng Ding, Yufan Zhou, Ziyun Huang, Jinhui Xu.
ICLR 2025;

Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization
Ruijia Zhang*, Mingxi Lei*, Meng Ding, Zihang Xiang, Jinhui Xu, Di Wang.
AAAI 2024;

Revisiting Differentially Private ReLU Regression
Meng Ding, Mingxi Lei, Liyang Zhu, Shaowei Wang, Di Wang, Jinhui Xu.
NeurIPS 2024;

Truthful High Dimensional Sparse Linear Regression
Liyang Zhu, Amina Manseur, Meng Ding, Jinyan Liu, Jinhui Xu, Di Wang.
NeurIPS 2024;

Understanding Forgetting in Continual Learning with Linear Regression
Meng Ding, Kaiyi Ji, Di Wang, Jinhui Xu.
ICML 2024;

Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model
Liyang Zhu*, Meng Ding*, Jinhui Xu, Di Wang.
ICLR 2024;