Han Wang

Orcid: 0009-0008-4310-4623

Affiliations:
  • University of Kansas, Department of Electrical Engineering & Computer Science, Lawrence, KS, USA
  • Illinois Institute of Technology, Department of Computer Science, Chicago, IL, USA (PhD 2023)


According to our database1, Han Wang authored at least 18 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
ASDIA: An Adversarial Sample to Preserve Privacy Program in Federated Learning.
IEEE Trans. Dependable Secur. Comput., 2025

2024
Silver Linings in the Shadows: Harnessing Membership Inference for Machine Unlearning.
CoRR, 2024

LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models.
CoRR, 2024

DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

Towards Accurate and Stronger Local Differential Privacy for Federated Learning with Staircase Randomized Response.
Proceedings of the Fourteenth ACM Conference on Data and Application Security and Privacy, 2024

2023
A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing.
IEEE Trans. Knowl. Data Eng., 2023

2022
DPOAD: Differentially Private Outsourcing of Anomaly Detection through Iterative Sensitivity Learning.
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

A Model-Agnostic Approach to Differentially Private Topic Mining.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 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

L-SRR: Local Differential Privacy for Location-Based Services with Staircase Randomized Response.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021
VTDP: Privately Sanitizing Fine-Grained Vehicle Trajectory Data With Boosted Utility.
IEEE Trans. Dependable Secur. Comput., 2021

2020
VideoDP: A Flexible Platform for Video Analytics with Differential Privacy.
Proc. Priv. Enhancing Technol., 2020

Privacy Preserving Distributed Energy Trading.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

Publishing Video Data with Indistinguishable Objects.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

2019
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

2018
Privacy Preserving and Collusion Resistant Energy Sharing.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018


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