173 citations · 192 across the 4 of their papers we have counts for
4 papers
Dynamically Adjusting Case Reporting Policy to Maximize Privacy and Utility in the Face of a Pandemic
J. Thomas Brown, Chao Yan, Weiyi Xia +5
Supporting public health research and the public's situational awareness during a pandemic requires continuous dissemination of infectious disease surveillance data. Legislation, s…
Anonymizing Data for Privacy-Preserving Federated Learning
Olivia Choudhury, Aris Gkoulalas-Divanis, Theodoros Salonidis +4
Federated learning enables training a global machine learning model from data distributed across multiple sites, without having to move the data. This is particularly relevant in h…
Differential Privacy-enabled Federated Learning for Sensitive Health Data
Olivia Choudhury, Aris Gkoulalas-Divanis, Theodoros Salonidis +4
Leveraging real-world health data for machine learning tasks requires addressing many practical challenges, such as distributed data silos, privacy concerns with creating a central…
Towards Utility-driven Anonymization of Transactions
Grigorios Loukides, Aris Gkoulalas-Divanis, Bradley Malin
Publishing person-specific transactions in an anonymous form is increasingly required by organizations. Recent approaches ensure that potentially identifying information (e.g., a s…