Schedule
2023
Tuesday, January 3rd
12:00 AM

At What Price? Exploring the Potential and Challenges of Differentially Private Machine Learning for Healthcare

Aycan Aslan, University of Goettingen
Tizian Matschak, Georg-August-University of Göttingen
Maike Greve, University of Goettingen
Simon Trang, Georg August University, Goettingen
Lutz Kolbe, University of Goettingen

Online

12:00 AM - 12:00 AM

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Design Features and User Perspectives of Patient Confidentiality and Consent Features for Substance Use Disorder

Benjamin Schooley, Brigham Young University
Sue Feldman, University of Alabama at Birmingham

Online

12:00 AM - 12:00 AM

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Discovering mHealth Users’ Privacy and Security Concerns through Social Media Mining

Damion Mitchell, Dakota State University
Omar El-Gayar, Dakota State University

Online

12:00 AM - 12:00 AM

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Introduction to the Minitrack on Security and Privacy Challenges for Healthcare

Miloslava Plachkinova, Kennesaw State University
Ace Vo, Loyola Marymount University

Online

12:00 AM - 12:00 AM

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Privacy-Preserving Deep Learning Model for Covid-19 Disease Detection

Vijay Srinivas Tida, University of Louisiana at Lafayette
Sai Venkatesh Chilukoti, University of Louisiana at Lafayette
Sonya Hy Hsu, University of Louisiana at Lafayette
Xiali Hei, University of Louisiana at Lafayette

Online

12:00 AM - 12:00 AM

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Toward an Effective SETA Program: An Action Research Approach

Humayun Zafar, Kennesaw State University
Jason Williams, Augusta University
Saurabh Gupta, Kennesaw State University

Online

12:00 AM - 12:00 AM

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