Research Interests

(Local) Differential Privacy

Trustworthy Machine Learning

Secure Multiparty Computation

Data and Optimization




Teaching




  • EECS565: Introduction to Information and Computer Security (Spring 2024)

  • EECS700: Data Privay and Security (Fall 2023)




  • Professional Services


    Conference & Jonrnal Reviewer

  • ACM Transactions on Internet of Things: 2024

  • USENIX Security Symposium (USENIX): 2023

  • The Web Conference: 2023

  • ACM Conference on Computer and Communication Security (CCS): 2022

  • Privacy Enhancing Technologies Symposium (PETS): 2021, 2022, 2023

  • ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD): 2022

  • International Symposium on Research in Attacks, Intrusions and Defenses (RAID): 2022

  • European Symposium on Research in Computer Security (ESORICS): 2022

  • International Conference on Machine Learning (ICML): 2022

  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR): 2021, 2022

  • ACM Transactions on Privacy and Security (TOPS): 2021

  • ACM Conference on Autonomous Agents and Multiagent Systems (AAMAS): 2021, 2022

  • AAAI Conference on Artificial Intelligence (AAAI): 2019, 2020, 2021, 2022, 2023, 2024

  • International Conference on Computer Vision (ICCV): 2021

  • International Conference on Data Engineering (ICDE): 2020

  • Conference on Data and Applications Security and Privacy (DBSEC): 2019, 2020

  • IEEE Transactions on Information Forensics and Security (TIFS): 2021, 2022

  • IEEE Transactions on Dependable and Secure Computing(TDSC): 2020, 2021, 2023, 2024

  • IEEE Transactions on Knowledge and Data Engineering (TKDE): 2020, 2021

  • Conference Organization

  • Organizing Commitee, 16th Central Area Networking and Security Workshop: 2023

  • Conference TPC

  • AAAI Conference on Artificial Intelligence (AAAI): 2024

  • Big Data and Machine Learning for Networking (DBMLN) Workshop: 2024

  • Selected Publications


  • Matta Varun, Shuya Feng, Han Wang, Shamik Sural and Yuan Hong, Towards Accurate and Stronger Local Differential Privacy for Federated Learning with Staircase Randomized Response, in Proceedings of the 14th ACM Conference on Data and Application Security and Privacy (CODASPY), Porto, Portugal, June 19-21, 2024. [Acceptance Rate: 34/160=21.25%]

  • Shuya Feng*, Meisam Mohammady*, Han Wang, Xiaochen Li, Zhan Qin and Yuan Hong, DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming, in Proceedings of the 45th IEEE Symposium on Security and Privacy (S&P/Oakland), San Francisco, California, USA, May 22-25, 2024. [* Equal Contribution, Acceptance Rate: 202/1389=17.8%] [Code]

  • Before 2023
  • Han Wang, Hanbin Hong, Li Xiong, Zhan Qin and Yuan Hong, PrivLBS: Local Differential Privacy for Location-Based Services with Staircase Randomized Response, in Proceedings of the 29th ACM Conference on Computer and Communications Security (CCS), Los Angles, CA, November 7-11, 2022. [Code]

  • Han Wang, Jayashree Sharma, Shuya Feng, Kai Shu and Yuan Hong, A Model-Agnostic Approach to Differentially Private Topic Mining, in Proceedings of the 28th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Washington D.C., August 14-18, 2022. [Acceptance Rate: 254/1695=14.99%] [Code]

  • Shangyu Xie, Han Wang, Yu Kong and Yuan Hong, Universal 3-Dimensional Perturbations for Blackbox Attacks on Video Recognition Systems, in Proceedings of the 43rd IEEE Symposium on Security and Privacy (Oakland), San Francisco, California, USA, May 22-26, 2022. [Acceptance Rate: 147/1006=14.6%]

  • Shangyu xie, Meisam Mohammady, Han Wang, Lingyu Wang, Jaideep Vaidya and Yuan Hong, A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing, IEEE Transactions on Knowledge and Data Engineering (TKDE'21). [Impact Factor: 6.977]

  • Bingyu Liu, Shangyu Xie, Han Wang, Yuan Hong, Xuegang Ban and Meisam Mohammady, VTDP: Privately Sanitizing Fine-grained Vehicle Trajectory Data with Boosted Utility, IEEE Transactions on Dependable and Secure Computing (TDSC), Vol. 18(6), pp. 2643-2657, 2021. [Impact Factor: 7.329]

  • Han Wang, Shangyu Xie and Yuan Hong, VideoDP: A Flexible Platform for Video Analytics with Differential Privacy, in Proceedings of the 20th Privacy Enhancing Technologies Symposium (PETS'20), Montreal, Canada, July 14-18, 2020.

  • Han Wang, Yuan Hong, Yu Kong and Jaideep Vaidya, Publishing Video Data with Indistinguishable Objects, in Proceedings of the 23rd International Conference on Extending Database Technology (EDBT'20), Copenhagen, Denmark, March 30-April 2, 2020, pp. 323-334. [Acceptance Rate: 31/151=20.5%]

  • Shangyu Xie, Han Wang, Yuan Hong and My Thai, Privacy Preserving Distributed Energy Trading, in Proceedings of the 40th International Conference on Distributed Computing Systems (ICDCS'20), Singapore, July 8-10, 2020.

  • Shangyu Xie, Han Wang, Shengbin Wang,Haibing Lu, Yuan Hong, Dong Jin, and Qi Liu, Discovering communities for microgrids with spatial-temporal net energy, Journal of Modern Power Systems and Clean Energy 7, no.6,pp. 1536-1546, 2019.

  • Yuan Hong, Han Wang, Shangyu Xie and Bingyu Liu, Privacy preserving and collusion resistant energy sharing, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Alberta, Canada, April 15-20, 2018, pp. 6941-6945.







  • Students




  • Jigyas Sharma (Master in KU) (Spring 2024)