LAVA: Data Valuation without Pre-Specified Learning Algorithms.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Data Banzhaf: A Data Valuation Framework with Maximal Robustness to Learning Stochasticity.
CoRR, 2022
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
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