2023
LAVA: Data Valuation without Pre-Specified Learning Algorithms.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Data Banzhaf: A Data Valuation Framework with Maximal Robustness to Learning Stochasticity.
CoRR, 2022

2021
DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing.
Proc. Priv. Enhancing Technol., 2021

Concurrent Composition of Differential Privacy.
IACR Cryptol. ePrint Arch., 2021

Learning to Refit for Convex Learning Problems.
CoRR, 2021

Zero-Round Active Learning.
CoRR, 2021

Learnability of Learning Performance and Its Application to Data Valuation.
CoRR, 2021

A Unified Framework for Task-Driven Data Quality Management.
CoRR, 2021

One-Round Active Learning.
CoRR, 2021

Improving Robustness to Model Inversion Attacks via Mutual Information Regularization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A Principled Approach to Data Valuation for Federated Learning.
Proceedings of the Federated Learning - Privacy and Incentive, 2020

A Principled Approach to Data Valuation for Federated Learning.
CoRR, 2020