Technical Program

Paper Detail

Paper:WA4b-4
Session:Information-theoretic Approaches to Machine Learning (Invited)
Location:Heather
Session Time:Wednesday, October 31, 10:15 - 11:30
Presentation Time:Wednesday, October 31, 11:11 - 11:29
Presentation: Oral
Topic: Adaptive Systems, Machine Learning, Data Analytics: Invited Session: Information-theoretic Approaches to Machine Learning
Paper Title: Generative Adversarial Privacy: A Data-driven Approach to Information-theoretic Privacy
Authors: Chong Huang, Arizona State University, United States; Peter Kairouz, Stanford University, United States; Lalitha Sankar, Arizona State University, United States