Cutting Gordian's "End-User Focus" vs. "Privacy" Knot
summary
Claims a working proof of concept that lets KDE gather usable statistics without touching raw user data by combining a local user database synced to a central schema catalog, a foundation that audits services, and a federated secure aggregation protocol using the PAYE additive homomorphic encryption primitive. A KUserFeedback patch and server exist, funded by the German Prototype Fund, and the demo successfully returns aggregated results while masking low counts and enforcing user consent rules.
AI-written summary · about
chapters (8)
- 0:00Introduction and context
- 1:59Privacy as a core value
- 5:26Pryvect EV mission and ecosystem
- 10:08Foundation and central database schema
- 17:53Legal framework and user control
- 23:59Federated secure aggregation protocol
- 27:37Next steps and adoption plan
- 31:13Q&A session
related talks
45mZero Knowledge; Meeting the Growing Demand for Security and Privacy
47mDesigning for User-Centered Privacy
26mIs it Controversial to Protect Privacy by Violating Privacy?
13mBuilding Privacy Products: Field Notes
01h 30mDigital Privacy – low and high hanging fruits, and how to pick them.
17mPublishing Wikipedia Project Usage Data with Strong Privacy Protections and w/o Tracking
45mMaking Privacy Technology Accessible: Benchmarks and Platforms
20mDetecting Data Leaks in Multi-User LLM Apps via Automated User-Scoped Taint Analysis
