Process-Driven Data Privacy. - Weiyi Xia; Murat Kantarcioglu; Zhiyu Wan; Raymond Heatherly; Yevgeniy Vorobeychik; Bradley A. Malin (CIKM, 2015)

An Open Source Tool for Game Theoretic Health Data De-Identification. - Fabian Prasser; James Gaupp; Zhiyu Wan; Weiyi Xia; Yevgeniy Vorobeychik; Murat Kantarcioglu; Klaus A. Kuhn; Bradley A. Malin (AMIA, 2017)

Detecting the Presence of an Individual in Phenotypic Summary Data. - Yongtai Liu; Zhiyu Wan; Weiyi Xia; Murat Kantarcioglu; Yevgeniy Vorobeychik; Ellen Wright Clayton; Abel N. Kho; David S. Carrell; Bradley A. Malin (AMIA, 2018)

It's all in the timing: calibrating temporal penalties for biomedical data sharing. - Weiyi Xia; Zhiyu Wan; Zhijun Yin; James Gaupp; Yongtai Liu; Ellen Wright Clayton; Murat Kantarcioglu; Yevgeniy Vorobeychik; Bradley A. Malin (J. Am. Medical Informatics Assoc., 2018)

Biomedical Research Cohort Membership Disclosure on Social Media. - Yongtai Liu; Chao Yan 004; Zhijun Yin; Zhiyu Wan; Weiyi Xia; Murat Kantarcioglu; Yevgeniy Vorobeychik; Ellen Wright Clayton; Bradley A. Malin (AMIA, 2019)

De-identifying Socioeconomic Data at the Census Tract Level for Medical Research Through Constraint-based Clustering. - Yongtai Liu; Douglas Conway; Zhiyu Wan; Murat Kantarcioglu; Yevgeniy Vorobeychik; Bradley A. Malin (AMIA, 2021)

Dynamically Adjusting Case-Reporting Policy to Maximize Privacy and Utility in the Face of a Pandemic. - J. Thomas Brown; Chao Yan 004; Weiyi Xia; Zhijun Yin; Zhiyu Wan; Aris Gkoulalas-Divanis; Murat Kantarcioglu; Bradley A. Malin (CoRR, 2021)

Extraction of High-Frequency Power Cable Transmission Characteristics From Impedance Spectroscopy. - Shi Mo; Dandan Zhang; Zhenbiao Li; Zhiyu Wan (IEEE Trans. Instrum. Meas., 2021)

Assessing Machine Learning Based Generators for Synthetic Electronic Health Records: A Benchmarking. - Chao Yan 004; Yao Yan; Ziqi Zhang 005; Zhiyu Wan; Justin Guinney; Sean D. Mooney; Bradley A. Malin (AMIA, 2022)

Supporting COVID-19 Disparity Investigations with Dynamically Adjusting Case Reporting Policies. - James Thomas Brown; Zhiyu Wan; Aris Gkoulalas-Divanis; Murat Kantarcioglu; Bradley A. Malin (AMIA, 2022)

A Scalable Tool for Realistic Health Data Re-identification Risk Assessment. - Weiyi Xia; Yongtai Liu; Zhiyu Wan; Yevgeniy Vorobeychik; Murat Kantarcioglu; Ellen Wright Clayton; Bradley A. Malin (AMIA, 2022)

Privacy-Preserving Publishing of Individual-Level Pandemic Data Based on a Game Theoretic Model. - Abinitha Gourabathina; Zhiyu Wan; J. Thomas Brown; Chao Yan 004; Bradley A. Malin (BIBM, 2022)

How Adversarial Assumptions Influence Re-identification Risk Measures: A COVID-19 Case Study. - Xinmeng Zhang; Zhiyu Wan; Chao Yan 004; J. Thomas Brown; Weiyi Xia; Aris Gkoulalas-Divanis; Murat Kantarcioglu; Bradley A. Malin (PSD, 2022)

A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models. - Chao Yan 004; Yao Yan; Zhiyu Wan; Ziqi Zhang 005; Larsson Omberg; Justin Guinney; Sean D. Mooney; Bradley A. Malin (CoRR, 2022)

Dynamically adjusting case reporting policy to maximize privacy and public health utility in the face of a pandemic. - J. Thomas Brown; Chao Yan 004; Weiyi Xia; Zhijun Yin; Zhiyu Wan; Aris Gkoulalas-Divanis; Murat Kantarcioglu; Bradley A. Malin (J. Am. Medical Informatics Assoc., 2022)

Enabling Trade-offs in Privacy and Utility in Genomic Data Beacons and Summary Statistics. - Rajagopal Venkatesaramani; Zhiyu Wan; Bradley A. Malin; Yevgeniy Vorobeychik (CoRR, 2023)

Managing re-identification risks while providing access to the All of Us research program. - Weiyi Xia; Melissa A. Basford; Robert J. Carroll; Ellen Wright Clayton; Paul A. Harris; Murat Kantarcioglu; Yongtai Liu; Steve Nyemba; Yevgeniy Vorobeychik; Zhiyu Wan; Bradley A. Malin (J. Am. Medical Informatics Assoc., 2023)

Defending Against Membership Inference Attacks on Beacon Services. - Rajagopal Venkatesaramani; Zhiyu Wan; Bradley A. Malin; Yevgeniy Vorobeychik (ACM Trans. Priv. Secur., 2023)

Evaluating Fairness of Mask R-CNN for Kidney Infection Detection based on Renal Scintigraphy. - Jiayi Wang; Mingyan Wu; Yuhang Guo; Ha Wu; Zhiyu Wan (IEEE Big Data, 2024)

Performance Evaluation of Multimodal Large Language Models (LLaVA and GPT-4-based ChatGPT) in Medical Image Classification Tasks. - Yuhang Guo; Zhiyu Wan (ICHI, 2024)

Medical Image De-Identification Benchmark Challenge. - Linmin Pei; Sutton Granger; Michael W. Rutherford; Ulrike Wagner; Tracy S. Nolan; Kirk E. Smith; Phillip Farmer; Peter Gu; Ambar Rana; Kailing Chen; Thomas Ferleman; Brian Park; et al. (CoRR, 2025)