Zhiyu Wan

Publications

Google Scholar

Peer-Reviewed Book Chapter

  • Zhiyu Wan, Yevgeniy Vorobeychik, Ellen Wright Clayton, Murat Kantarcioglu, and Bradley A. Malin. Game theory for privacy-preserving sharing of genomic data, in Responsible Genomic Data Sharing: Challenges and Approaches, X. Jiang, H. Tang, Eds. (Academic Press, March 2020), pp. 135–160. https://doi.org/10.1016/B978-0-12-816197-5.00007-3 [Elsevier] [ScienceDirect]

 

Peer-Reviewed Journal Papers

  • Abinitha Gourabathina*, Zhiyu Wan*, J. Thomas Brown, Chao Yan, Bradley A. Malin. PanDa Game: Optimized Privacy-Preserving Publishing of Individual-Level Pandemic Data Based on a Game Theoretic Model. IEEE Transactions on NanoBioscience, 22(4): 808–817 (Oct 2023). https://doi.org/10.1109/TNB.2023.3284092 [PubMed] [IEEE] [IF:3.9] [PlumX]
  • Rajagopal Venkatesaramani, Zhiyu Wan, Bradley A. Malin, and Yevgeniy Vorobeychik. Defending against membership inference attacks on Beacon services. ACM Transactions on Privacy and Security, 26(3): 42 (July 2023). https://doi.org/10.1145/3603627 [ACM] [pdf] [arXiv] [IF:2.3] [PlumX]
  • Rajagopal Venkatesaramani, Zhiyu Wan, Bradley A. Malin, and Yevgeniy Vorobeychik. Enabling Trade-offs in Privacy and Utility in Genomic Data Beacons and Summary Statistics. Genome Research, 33(7): 1113–1123 (July 2023). https://doi.org/10.1101/gr.277674.123 [PubMed] [PMC] [CSH] [pdf] [arXiv] [IF:9.438] [Altmetric:3] [PlumX]
  • Jia Guo, Ellen Wright Clayton, Murat Kantarcioglu, Yevgeniy Vorobeychik, Myrna Wooders, Zhiyu Wan, Zhijun Yin, and Bradley Malin. A Game Theoretic Approach to Balance Privacy Risks and Familial Benefits. Scientific Reports, 13(1): 6932 (April 2023). https://doi.org/10.1038/s41598-023-33177-0. [PubMed] [PMC] [Nature] [pdf] [preprint] [IF:4.996] [Altmetric:3] [PlumX]
  • Weiyi Xia, Melissa Basford, Robert Carroll, Ellen Wright Clayton, Paul Harris, Murat Kantacioglu, Yongtai Liu, Steve Nyemba, Yevgeniy Vorobeychik, Zhiyu Wan, and Bradley A. Malin. Managing re-identification risks while providing access to the All of Us research program. Journal of the American Medical Informatics Association, 30(5):907–914. (Feb 2023). https://doi.org/10.1093/jamia/ocad021 [PubMed] [PMC] [Oxford] [IF:7.942] [Altmetric:8] [PlumX]
  • Yongtai Liu, Zhijun Yin, Congning Ni, Chao Yan, Zhiyu Wan, and Bradley A. Malin. Examining Rural and Urban Sentiment Difference in COVID-19 Related Topics on Twitter: Word Embedding–Based Retrospective Study. Journal of Medical Internet Research, 23(1): e42985 (Feb 2023). https://doi.org/10.2196/42985 [PubMed] [PMC] [JMIR] [pdf] [IF:7.076] [Altmetric:19] [PlumX]
  • Chao Yan*, Yao Yan*, Zhiyu Wan*, Ziqi Zhang, Larsson Omberg, Justin Guinney, Sean D. Mooney, and Bradley A. Malin. A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models. Nature Communications, 13(1): 7609 (Dec 2022). https://doi.org/10.1038/s41467-022-35295-1 [PubMed] [PMC] [Nature] [pdf] [arXiv] [News] [IF:17.694] [Altmetric:20] [PlumX]
  • Zhiyu Wan, James W. Hazel, Ellen Wright Clayton, Yevgeniy Vorobeychik, Murat Kantarcioglu, and Bradley A. Malin. Bedrohungen für den genetischen Datenschutz (Threats to genetic privacy in Germany). Gen-ethischer Informationsdienst (Gene Ethics Information Service in Germany), 38(262): 7–9 (Aug 2022). https://www.gen-ethisches-netzwerk.de/publikationen/gid/262 [pdf(EN)]
  • Yongtai Liu, Zhijun Yin, Zhiyu Wan, Chao Yan, Weiyi Xia, Congning Ni, Ellen Wright Clayton, Yevgeniy Vorobeychik, Murat Kantarcioglu, and Bradley A. Malin. Implicit Incentives Among Reddit Users to Prioritize Attention Over Privacy and Reveal Their Faces When Discussing Direct-to-Consumer Genetic Test Results: Topic and Attention Analysis. JMIR Infodemiology, 2(2): e35702 (Aug 2022). http://dx.doi.org/10.2196/35702. [JMIR] [Altmetric:9] [PlumX]
  • Zhiyu Wan*, James W. Hazel*, Ellen Wright Clayton, Yevgeniy Vorobeychik, Murat Kantarcioglu, and Bradley A. Malin. Publisher Correction: Sociotechnical safeguards for genomic data privacy. Nature Reviews Genetics, 23(7): 453 (July 2022). https://doi.org/10.1038/s41576-022-00479-4 [PubMed] [Nature] [pdf] [IF:59.581] [Altmetric:1] [PlumX]
  • Zhiyu Wan*, James W. Hazel*, Ellen Wright Clayton, Yevgeniy Vorobeychik, Murat Kantarcioglu, and Bradley A. Malin. Sociotechnical safeguards for genomic data privacy. Nature Reviews Genetics, 23(7): 429–445 (July 2022). https://doi.org/10.1038/s41576-022-00455-y [PubMed] [PMC] [Nature] [pdf] [News] [IF:59.581] [Altmetric:94] [PlumX]
  • J. Thomas Brown, Chao Yan, Weiyi Xia, Zhijun Yin, Zhiyu Wan, Aris Gkoulalas-Divanis, Murat Kantarcioglu, and Bradley A. Malin. Dynamically adjusting case reporting policy to maximize privacy and public health utility in the face of a pandemic. Journal of the American Medical Informatics Association, 29(5): 853–863 (May 2022). https://doi.org/10.1093/jamia/ocac011 [PubMed] [Oxford] [arXiv] [IF:7.942] [Altmetric:15] [PlumX]
  • Congning Ni, Zhiyu Wan, Chao Yan, Yongtai Liu, Ellen Wright Clayton, Bradley Malin, and Zhijun Yin. The public perception of the #GeneEditedBabies event across multiple social media platforms: Observational study. Journal of Medical Internet Research, 24(3): e31687 (March 2022). https://doi.org/10.2196/31687 [PubMed] [PMC] [JMIR] [pdf] [IF:7.076] [Altmetric:14] [PlumX]
  • Zhiyu Wan, Yevgeniy Vorobeychik, Weiyi Xia, Yongtai Liu, Myrna Wooders, Jia Guo, Zhijun Yin, Ellen Wright Clayton, Murat Kantarcioglu, and Bradley A. Malin. Using game theory to thwart multistage privacy intrusions when sharing data. Science Advances, 7(50): eabe9986 (Dec 2021). https://doi.org/10.1126/sciadv.abe9986 [PubMed] [PMC] [Science] [pdf] [News] [IF:14.136] [Altmetric:303] [PlumX]
  • Weiyi Xia, Yongtai Liu, Zhiyu Wan, Yevgeniy Vorobeychik, Murat Kantarcioglu, Steve Nyemba, Ellen Wright Clayton, and Bradley Malin. Enabling realistic health data re-identification risk assessment through adversarial modeling. Journal of the American Medical Informatics Association, 28(4): 744–752 (Jan 2021). https://doi.org/10.1093/jamia/ocaa327 [PubMed] [PMC] [Oxford] [IF:4.497] [Altmetric:2] [PlumX]
  • Weiyi Xia, Zhiyu Wan, Zhijun Yin, James Gaupp, Yongtai Liu, Ellen Wright Clayton, Murat Kantarcioglu, Yevgeniy Vorobeychik, and Bradley A. Malin. It’s all in the timing: Calibrating temporal penalties for biomedical data sharing. Journal of the American Medical Informatics Association, 25(1): 25–31 (Jan 2018). http://dx.doi.org/10.1093/jamia/ocx101 [PubMed] [PMC] [Oxford] [pdf] [IF:4.270] [Altmetric:9] [PlumX]
Before 2018

 

Peer-Reviewed Conference Papers

  • Rajagopal Venkatesaramani, Zhiyu Wan, Bradley A. Malin, and Yevgeniy Vorobeychik. Enabling Trade-offs in Privacy and Utility in Genomic Data Beacons and Summary Statistics. 27th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2023), Istanbul, Turkey (April 2023).
  • Abinitha Gourabathina*, Zhiyu Wan*, J. Thomas Brown, Chao Yan, and Bradley A. Malin. Privacy-Preserving Publishing of Individual-Level Pandemic Data Based on a Game Theoretic Model. Proceedings of the 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, NV, USA, pp. 961–968 (Dec 2022). https://doi.org/10.1109/BIBM55620.2022.9995513 [Link] [pdf] [AR:19.8%] [PlumX]
  • Chao Yan, Yao Yan, Ziqi Zhang, Zhiyu Wan, Justin Guinney, Sean Mooney, and Bradley Malin. Assessing Machine Learning Based Generators for Synthetic Electronic Health Records: A Benchmarking. 2022 American Medical Informatics Association Annual Fall Symposium (AMIA), Washington, DC, USA (Nov 2022).
  • J. Thomas Brown, Zhiyu Wan, Aris Gkoulalas-Divanis, Murat Kantarcioglu, and Bradley Malin. Supporting COVID-19 Disparity Investigations with Dynamically Adjusting Case Reporting Policies. Proceedings of the 2022 American Medical Informatics Association Annual Fall Symposium (AMIA), Washington, DC, USA (Nov 2022).
  • Weiyi Xia, Yongtai Liu, Zhiyu Wan, Yevgeniy Vorobeychik, Murat Kantacioglu, Ellen W. Clayton, and Bradley A. Malin. A Scalable Tool for Realistic Health Data Re-identification Risk Assessment. 2022 American Medical Informatics Association Annual Fall Symposium (AMIA), Washington, DC, USA (Nov 2022). [pic]
  • Xinmeng Zhang, Zhiyu Wan, Chao Yan, J. Thomas Brown, Weiyi Xia, Aris Gkoulalas-Divanis, Murat Kantarcioglu, and Bradley Malin. How Adversarial Assumptions Influence Re-identification Risk Measures: A COVID-19 Case Study. In: Domingo-Ferrer, J., Laurent, M. (eds) Privacy in Statistical Databases. PSD 2022. Lecture Notes in Computer Science, vol 13463. Springer, Cham. pp. 361–374 (Sep 2022). https://doi.org/10.1007/978-3-031-13945-1_25 [Link] [AR:55%] [Altmetric:5] [PlumX]
  • Yongtai Liu, Douglas Downey, Zhiyu Wan, Murat Kantarcioglu, Yevgeniy Vorobeychik, and Bradley A. Malin. De-identifying socioeconomic data at the census tract level for medical research through constraint-based clustering. Proceedings of the 2021 American Medical Informatics Association Annual Fall Symposium (AMIA), San Diego, CA, USA. pp. 793–802 (Nov 2021). [Link] [PubMed] [PMC] [pdf] [slides] [pic1,2,3]
  • Yongtai Liu, Chao Yan, Zhijun Yin, Zhiyu Wan, Weiyi Xia, Murat Kantarcioglu, Yevgeniy Vorobeychik, Ellen Wright Clayton, and Bradley Malin. Biomedical research cohort membership disclosure on social media. Proceedings of the 2019 American Medical Informatics Association Annual Fall Symposium (AMIA), Washington, DC, USA. pp. 607–616 (Nov 2019). [Link] [PubMed] [PMC] [pdf] [News] [Distinguished Paper Awards]
  • Yongtai Liu, Zhiyu Wan, Weiyi Xia, Murat Kantarcioglu, Yevgeniy Vorobeychik, Ellen Wright Clayton, Abel Kho, David Carrell, and Bradley A. Malin. Detecting the presence of an individual in phenotypic summary data. Proceedings of the 2018 American Medical Informatics Association Annual Fall Symposium (AMIA), San Francisco, CA, USA. pp. 760–769 (Nov 2018). [Link] [PubMed] [PMC] [pdf]
Before 2018
  • Fabian Prasser, James Gaupp, Zhiyu Wan, Weiyi Xia, Yevgeniy Vorobeychik, Murat Kantarcioglu, Klaus Kuhn, and Bradley Malin. An open source tool for game theoretic health data de-identification. Proceedings of the 2017 American Medical Informatics Association Annual Fall Symposium (AMIA), Washington, DC, USA. pp. 1430–1439 (Nov 2017). [Link] [PubMed] [PMC] [pdf] [slides]
  • Weiyi Xia, Murat Kantarcioglu, Zhiyu Wan, Raymond Heatherly, Yevgeniy Vorobeychik, and Bradley Malin. Process-driven data privacy. Proceedings of the 24th ACM International on Conference on Information and Knowledge Management (CIKM ’15), New York, NY, USA. pp. 1021–1030 (Oct 2015). http://dx.doi.org/10.1145/2806416.2806580 [Link] [AR:26%] [PlumX]
  • Xiaobo Ma, Jiahong Zhu, Zhiyu Wan, Jing Tao, Xiaohong Guan, and Qinghua Zheng. Honeynet-based collaborative defense using improved highly predictive blacklisting algorithm. Proceedings of the 8th World Congress on Intelligent Control and Automation (WCICA), Jinan, Shandong, China. pp. 1283–1288 (July 2010). http://dx.doi.org/10.1109/WCICA.2010.5554909 [Link] [PlumX] [pic1,2]

 

Preprints

  • Chris Clifton, Bradley Malin, Anna Oganian, Ramesh Raskar, Vivek Sharma, Weiyi Xia, Jeremy Seeman, Zhiyu Wan, and Abhishek Singh. A Roadmap for Greater Public Use of Privacy-Sensitive Government Data: Workshop Report. arXiv:2208.01636 [cs.CR] (17 Jun 2022). [pdf]

 

Invited Talks

  • Zhiyu Wan. Strategic Privacy-Preserving Sharing of High Dimensional Biomedical Data Enabled by Artificial Intelligence. UTHealth School of Biomedical Informatics (SBMI) Spring 2023 Research Seminar. Virtual (February 1, 2023). [Link]
  • Zhiyu Wan. Game Theory For Shielding Personal Data Against Privacy Attacks On Anonymity. 2022 INFORMS Annual Meeting. Indianapolis, IN, USA (October 16, 2022). [Link]

 

Presentations / Posters / Abstracts

 

Ph.D. Dissertation

  • Zhiyu Wan. Privacy-Preserving Sharing of High-Dimensional Data Based on Computational Game Theory. Vanderbilt University, Nashville, TN, USA (ProQuest Dissertations Publishing, Nov 2020). [Link] [ProQuest] [Vanderbilt]

*: contributed equally