Learn Generative AI, Prompt Engineering, and LLMs for Free
AI Engineer - Learn how to integrate AI into software applications
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Explore the complexities of synthetic data generation and empirical privacy metrics in this 14-minute conference talk from PEPR '24. Delve into the world of fake data creation that mimics real statistical distributions, examining the privacy claims made by synthetic data vendors. Critically analyze the effectiveness and reliability of empirical privacy metrics used to determine data safety. Uncover marketing myths surrounding synthetic data and privacy claims, and gain insights into the necessary steps for integrating these tools into a robust privacy strategy. Learn about the potential benefits and pitfalls of synthetic data in data analysis, sharing, and commercialization while considering privacy compliance and anonymity concerns.
Syllabus
PEPR '24 - Empirical Privacy Metrics: The Bad, the Ugly… and the Good, Maybe?
Taught by
USENIX