DPW’24 Submissions

Access author bios and abstracts from the 2024 IEEE Digital Privacy Workshop.

EMERGENT IDEAS ON AI-ENHANCED PRIVACY
Piyush Khemka & Lokanadham Potnuru, Meta Data Classification at Meta Scale (PDF, 92 KB)
Dileep Kumar Pandiya, ZoomInfo AI-Driven Privacy Enhancements in Microservices Architectures (PDF, 89 KB) Slides (PDF, 575 KB)
David Zagardo, WebXRay.ai Private Block-wise Gradient Shuffling for Deep Learning? (PDF, 87 KB)
Hao-Ping (Hank) Lee, Carnegie Mellon University Privacy in the age of AI: What has changed and what should we do about it? (PDF, 90 KB)
EMERGENT IDEAS ON USER-CENTRIC PRIVACY SOLUTIONS
Venkata Ramana Sai Malladi, Meta Empowering User Privacy: A Novel Approach to Secure Data Access and Feedback-Driven Policy Refining (PDF, 95 KB)
Tatyana Norman-Webler, The University of Akron A Prescription for Ineffective Notice in mHealth: Revisiting the Privacy Nutrition Label (PDF, 131 KB)
Rahmadi Trimananda, Comcast The Golden xCOMPASS: The Compass You Need to Navigate through the App-Privacy Universe! (PDF, 89 KB) Slides (PDF, 785 KB)
Venkata Nedunoori, Dentsu International Advancements in Homomorphic Encryption for Secure Data Processing (PDF, 83 KB) Slides (PDF, 194 KB)