HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization.
Proc. VLDB Endow., July, 2024
Uldp-FL: Federated Learning with Across Silo User-Level Differential Privacy.
Proc. VLDB Endow., July, 2024
Olive: Oblivious Federated Learning on Trusted Execution Environment Against the Risk of Sparsification.
Proc. VLDB Endow., 2023
From Bounded to Unbounded: Privacy Amplification via Shuffling with Dummies.
Proceedings of the 36th IEEE Computer Security Foundations Symposium, 2023
PCT-TEE: Trajectory-based Private Contact Tracing System with Trusted Execution Environment.
ACM Trans. Spatial Algorithms Syst., 2022
HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data.
Proc. VLDB Endow., 2022
OLIVE: Oblivious and Differentially Private Federated Learning on Trusted Execution Environment.
CoRR, 2022
Network Shuffling: Privacy Amplification via Random Walks.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022
An Accurate, Flexible and Private Trajectory-Based Contact Tracing System on Untrusted Servers.
Proceedings of the Information Integration and Web Intelligence, 2022
Asymmetric Differential Privacy.
Proceedings of the IEEE International Conference on Big Data, 2022
Preventing Manipulation Attack in Local Differential Privacy Using Verifiable Randomization Mechanism.
Proceedings of the Data and Applications Security and Privacy XXXV, 2021
Blockchain-Empowered Contact Tracing for COVID-19 Using Crypto-Spatiotemporal Information.
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020
Secure and Efficient Trajectory-Based Contact Tracing using Trusted Hardware.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020