 Incentives in Private Collaborative Machine LearningNeural Information Processing Systems (NeurIPS), 2024 |
 DPMLBench: Holistic Evaluation of Differentially Private Machine
LearningConference on Computer and Communications Security (CCS), 2023 |
 An Optimized Privacy-Utility Trade-off Framework for Differentially
Private Data Sharing in Blockchain-based Internet of ThingsIEEE Internet of Things Journal (IEEE IoT J.), 2022 |
 Hierarchical Federated Learning with PrivacyBigData Congress [Services Society] (BSS), 2022 |
 Evaluation Gaps in Machine Learning PracticeConference on Fairness, Accountability and Transparency (FAccT), 2022 |
 DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in
Machine LearningConference on Data and Application Security and Privacy (CODASPY), 2021 |
 PPFL: Privacy-preserving Federated Learning with Trusted Execution
EnvironmentsACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services (MobiSys), 2021 |
