A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing.
IEEE Trans. Knowl. Data Eng., 2023
Stealthy 3D Poisoning Attack on Video Recognition Models.
IEEE Trans. Dependable Secur. Comput., 2023
Does Prompt-Tuning Language Model Ensure Privacy?
CoRR, 2023
Label Inference Attack against Split Learning under Regression Setting.
CoRR, 2023
On Fair Classification with Mostly Private Sensitive Attributes.
CoRR, 2022
Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems.
Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022
Differentially Private Instance Encoding against Privacy Attacks.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2022
A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
VTDP: Privately Sanitizing Fine-Grained Vehicle Trajectory Data With Boosted Utility.
IEEE Trans. Dependable Secur. Comput., 2021
Privacy preserving divisible double auction with a hybridized TEE-blockchain system.
Cybersecur., 2021
Privacy-Preserving Cloud-Based DNN Inference.
Proceedings of the IEEE International Conference on Acoustics, 2021
Reconstruction Attack on Instance Encoding for Language Understanding.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Pairing: Privately Balancing Multiparty Real-Time Supply and Demand on the Power Grid.
IEEE Trans. Inf. Forensics Secur., 2020
VideoDP: A Flexible Platform for Video Analytics with Differential Privacy.
Proc. Priv. Enhancing Technol., 2020
R<sup>2</sup>DP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions.
CoRR, 2020
Privacy Preserving Distributed Energy Trading.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020
R2DP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions.
Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020
PANDA: Privacy-Aware Double Auction for Divisible Resources without a Mediator.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
VideoDP: A Universal Platform for Video Analytics with Differential Privacy.
CoRR, 2019
Homogeneous and Mixed Energy Communities Discovery with Spatial-Temporal Net Energy.
CoRR, 2019
A Privacy Preserving Multiagent System for Load Balancing in the Smart Grid.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
Privacy Preserving and Collusion Resistant Energy Sharing.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Quantile regression methods with varying-coefficient models for censored data.
Comput. Stat. Data Anal., 2015
Two-Stage Estimation for Seemingly Unrelated Nonparametric Regression Models.
J. Syst. Sci. Complex., 2007