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)

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)

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)

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)

Robin Hood: A De-identification Method to Preserve Minority Representation for Disparities Research. - James Thomas Brown; Ellen Wright Clayton; Michael E. Matheny; Murat Kantarcioglu; Yevgeniy Vorobeychik; Bradley A. Malin (PSD, 2024)