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DAY 1 – Thursday, June 10
8:00am – 8:10am PDT | 11:00am – 11:10am EDT | Opening Remarks
8:10am – 9:25am PDT | 11:10am – 12:25pm EDT | Session 1 – Privacy at Scale
Privacy for Infrastructure: Addressing Privacy at the Root
- Joshua O’Madadhain, Gary Young, Google
Cryptographic Privacy-Enhancing Technologies in the Post-Schrems II Era
- Sunny Seon Kang, Data Privacy Attorney
Detecting and Handling Sensitive Information in a Data Platform
- Megha Arora, Mihir Patil, Palantir Technologies
9:25am – 9:45am PDT | 12:25pm – 12:45pm EDT | Break
9:45am – 11:00am PDT | 12:45pm – 2:00pm EDT | Session 2 – Consent
Design Meaningful Privacy Choice Experiences for Users
- Yuanyuan Feng, Carnegie Mellon University
Engineering a Consent Sandbox to Eliminate Annoying Pop-Ups and Dark Patterns
- Benjamin Brook, Transcend
End-to-End Consent in Web Applications: EU Legal Requirements and Means to Verify Compliance
- Cristiana Santos, Utrecht University; Nataliia Bielova, Inria
11:00am – 11:40am PDT | 2:00pm – 2:40pm EDT | Networking Break
11:40am – 12:55pm PDT | 2:40pm – 3:55pm EDT | Session 3 – Data Deletion
Deletion Framework: How Facebook Upholds its Commitments Towards Data Deletion
- Benoît Reitz, Facebook
The Life-Changing Magic of Tidying Up Data
- Nandita Rao, DoorDash
“A Little Respect” – Erasure of Personal Data in Distributed Systems
- Neville Samuell, Ethyca
12:55pm – 1:15pm PDT | 3:55pm – 4:15pm EDT | Break
1:15pm – 2:30pm PDT | 4:15pm – 5:30pm EDT | Session 4 – Design
Illustrating Privacy Engineering Concepts with Potty Talk
- Lorrie Cranor, Carnegie Mellon University
Privacy UX At Scale: Foundational “truths” and design guidelines
- Manya Sleeper, Johanna Woll, Google
Is it Time Our Devices Showed a Little Respect? Informing the Design of Respectful Intelligent Systems
- William Seymour, King’s College London
Day 2 – Friday, June 11
8:00am – 8:10am PDT | 11:00am – 11:10am EDT | Opening Remarks
8:10am – 9:25am PDT | 11:10am – 12:25pm EDT | Session 5 – Healthcare Privacy
Towards More Informed Consent for Healthcare Data Sharing
- Sarah Pearman, Carnegie Mellon University
Building a Scalable, Machine Learning-Driven Anonymization Pipeline for Clinical Trial Transparency
- David Di Valentino, Muqun (Rachel) Li, Privacy Analytics
Building for Digital Health
- Aditi Joshi, Security and Privacy Engineering, Google Cloud
9:25am – 9:45am PDT | 12:25pm – 12:45pm EDT | Break
9:45am – 10:45am PDT | 12:45pm – 1:45pm EDT | Session 6 – Panel Discussion (TBA)
10:45am – 11:25am PDT | 1:45pm – 2:25pm EDT | Networking Break
11:25am – 12:40pm PDT | 2:25pm – 3:40pm EDT | Session 7 – Architectures for Privacy
No Threat, No Sweat: Privacy Threat Modeling in Practice – a Machine Learning Use Case
- Kim Wuyts, imec-Distrinet, KU Leuven; Isabel Barberá, BitnessWiseBV
Lightweight Purpose Justification Service for Embedded Accountability
- Amav Jagasia, Yeong Wee, Palantir Technologies
Deleting the undeletable
- Behooz Shafiee, Shopify
12:40pm – 1:00pm PDT | 3:40pm – 4:00pm EDT | Break
1:00pm – 2:15pm PDT | 4:00pm – 5:15pm EDT | Session 8 – Privacy for Vulnerable Populations
Considering Privacy when Communicating with Incarcerated People
- Kentrell Owens, University of Washington
Security through Care: Abusability Insights from Tech Abuse Advocates
- Julia Slupska, Oxford Internet Institute, Centre for Doctoral Training in Cybersecurity, University of Oxford
If at First You Don’t Succeed: Norway’s Two Contact-Tracing Apps
- Eivind Arvesen