Quantifying the Degree of Privacy Protection in Structured Synthetic Data
My Session Status
What:
Panel
When:
9:00 AM, Friday 16 May 2025
(2 hours)
Breaks:
Coffee Break 10:30 AM to 11:00 AM (30 minutes)
Where:
Scuola Grande S.G. Evangelista
- Stendardo
Theme:
Deep Dive In
Accountability, Trust and PETDeep dive in and capacity buildingHealth and medical data Innovative Technologies
Synthetic data is considered a privacy-preserving solution for sharing and analyzing sensitive datasets, but how much privacy does it really offer? Can we measure it? This session will dive deep into the world of structured synthetic data, unraveling its promises and limitations, as well as explore techniques for quantifying privacy protection
Key questions
- What are the best frameworks and metrics for quantifying privacy in structured synthetic datasets?
- What are the hidden risks?
- What’s next for synthetic data privacy research, and where do we draw the ethical line?