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Quantifying the Degree of Privacy Protection in Structured Synthetic Data

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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:
Theme:
Deep Dive In
Tags:
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? 

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