IEEE Digital Privacy Workshop
The IEEE Digital Privacy Initiative is delighted to announce its inaugural Digital Privacy Workshop (DPW), a premier event dedicated to fostering the exchange of ideas and collaboration among scholars and practitioners interested in digital privacy issues.
In our increasingly digital world, privacy has emerged as a significant concern as technological advancements increasingly permeate our personal lives, accessing and utilizing sensitive information.
This workshop aims to explore how organizations can operationalize privacy, integrate it into system engineering, enhance its usability for end users, and tackle emerging technological challenges.
The workshop is co-located with IEEE SecDev 2024 at Carnegie Mellon University Software Engineering Institute in Pittsburgh, PA, USA.
Program
Monday, 7 October 2024 • All times ET • Download the Program (PDF, 100 KB)
| TIME | SESSION |
|---|---|
| WELCOME REMARKS | |
| 08:45 am – 09:00 am | Gurvirender Tejay, Hofstra University |
| KEYNOTE | |
| 09:00 am – 09:45 am | Lorrie Faith Cranor, Carnegie Mellon University Mobile App Privacy Nutrition Labels Missing Key Ingredients for Success |
| PERSPECTIVES FROM IEEE DIGITAL PRIVACY INITIATIVE | |
| 09:45 am – 10:15 am | Chris Gorog, BlockFrame Inc. Virtual Trust and Digital Privacy in the Post-Digital Transformation Era |
| 10:15 am – 10:45 am | Nick Napp, Xmark Labs, LLC Reframing Privacy in the Digital World |
| 10:45 am – 11:00 am | BREAK |
| INSIGHTS FROM EXPERTS IN DIGITAL PRIVACY | |
| 11:00 am – 11:30 am | Norman Sadeh, Carnegie Mellon University UsersFirst: A User Centric Threat Modeling Framework for Privacy Notice and Choice |
| 11:30 am – 12:00 pm | Jaideep Vaidya, Rutgers University AI and Conceptions of Privacy |
| 12:00 pm – 12:30 pm | Ümit Cali, University of York Nexus of AI, Digital Privacy, and Critical Infrastructure: Energy Sector Use Cases |
| 12:30 pm – 01:30 pm | LUNCH |
| EMERGENT IDEAS ON AI-ENHANCED PRIVACY | |
| 01:30 pm – 01:45 pm | Piyush Khemka & Lokanadham Potnuru, Meta Data Classification at Meta Scale |
| 01:45 pm – 02:00 pm | Dileep Kumar Pandiya, ZoomInfo AI-Driven Privacy Enhancements in Microservices Architectures |
| 02:00 pm – 02:15 pm | David Zagardo, WebXRay.ai Private Block-wise Gradient Shuffling for Deep Learning? |
| 02:15 pm – 02:30 pm | Hao-Ping (Hank) Lee, Carnegie Mellon University Privacy in the age of AI: What has changed and what should we do about it? |
| PANEL: EMPOWERING PRIVACY PRACTITIONERS: NAVIGATING CHALLENGES IN A USER-CENTRIC WORLD | |
| 02:30 pm – 03:45 pm | Moderator: Gurvirender Tejay, Hofstra University Karanveer Anand, Google Brice Dobson, Coca Cola Emelin Flores, 1Password Peter E. Sand, U.S. Dept of Homeland Security |
| 03:45 pm – 04:00 pm | BREAK |
| EMERGENT IDEAS ON USER-CENTRIC PRIVACY SOLUTIONS | |
| 04:00 pm – 04:15 pm | Venkata Ramana Sai Malladi, Meta Empowering User Privacy: A Novel Approach to Secure Data Access and Feedback-Driven Policy Refining |
| 04:15 pm – 04:30 pm | Tatyana Norman-Webler, The University of Akron A Prescription for Ineffective Notice in mHealth: Revisiting the Privacy Nutrition Label |
| 04:30 pm – 04:45 pm | Rahmadi Trimananda, Comcast The Golden xCOMPASS: The Compass You Need to Navigate through the App-Privacy Universe! |
| 04:45 pm – 05:00 pm | Venkata Nedunoori, Dentsu International Advancements in Homomorphic Encryption for Secure Data Processing |
| CLOSING REMARKS | |
| 05:00 pm – 05:15 pm | Hanan Hibshi, Carnegie Mellon University |
Workshop Organizers
Chair: Gurvirender Tejay
Co-Chair: Hanan Hibshi
Ümit Cali
Chris Gorog
Neeli Prasad
Stefano Zanero
Contact
For any questions or concerns about the workshop, please contact [email protected].