Meng Ding

Evaluating Data Influence in Meta Learning

Understanding Private Learning From Feature Perspective

Benign Overfitting in Adversarial Training for Vision Transformers

Black-box Optimization of LLM Outputs by Asking for Directions

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram

Towards User-level Private Reinforcement Learning with Human Feedback

Private Stochastic Convex Optimization with Tysbakov Noise Condition and Large Lipschitz Constant

Why Fine-Tuning Struggles with Forgetting in Machine Unlearning? Theoretical Insights and a Remedial Approach