Agenda

Venue: Hyatt Regency Houston/Galleria | Room: Regency D (Level 2)

08:45 Welcome

• Oluwaseyi Feyisetan

09:00 Keynote

• Preserving Privacy and Utility in Text Data
• Tom Diethe (Amazon UK)

10:00 Coffee break

10:30 Invited Talk

• Perfectly Privacy-Preserving AI: What is it and how do we achieve it?
• Patricia Thaine (University of Toronto)

11:15 Invited Talk

• Calibrating Mechanisms for Privacy Preserving Text Analysis
• Oluwaseyi Feyisetan (Amazon US)

12:00 Lunch

13:00 Research Paper

• Privacy-Aware Personalized Entity Representations for Improved User Understanding
• Levi Melnick (Microsoft)

13:30 Research Paper

• Classification of Encrypted Word Embeddings using Recurrent Neural Networks
• Robert Podschwadt (Georgia State University)

14:00 Research Paper

• A User-Centric and Sentiment Aware Privacy-Disclosure Detection Framework based on Multi-input Neural Network
• A K M Nuhil Mehdy (Boise State University)

14:30 Research Paper

• Is It Possible to Preserve Privacy in the Age of AI?
• Vijayanta Jain (University of Maine)

15:00 Coffee break

15:30 Panel discussion

16:00 Closing remarks