Foundations and Applications of Data Privacy - A Perspective

Explore the foundations and applications of data privacy in this comprehensive lecture from the Data Privacy Boot Camp at Simons Institute. Delve into the challenges of informational privacy, examining reconstruction attacks and their implications. Analyze traditional privacy-enhancing techniques and their vulnerabilities. Discover the concept of differential privacy, its principles, and real-world applications in organizations like the U.S. Census Bureau, Google, and Apple. Investigate the characteristics of effective privacy concepts and the challenges faced in implementing privacy measures. Gain insights into the interdisciplinary nature of privacy research, bridging computer science and legal perspectives. Learn about the evolving landscape of data privacy and its significance in today's digital world.

Intro
Considerations in preparing this talk
Layout
Informational Privacy: The Problem
When is informational privacy preserved?
Reconstruction attacks [Dinur N '03]
Reconstruction attacks Dinur N '03
Attacks on traditional privacy enhancing techniques
Reasons for optimism
Reconstruction attacks are useful!
What reconstruction attacks teach us?
Progressing towards a definition
A privacy desiderata
A more realistic privacy desiderata
Differential privacy [Dwork McSherry N Smith 86]
New privacy concepts
What makes a good privacy concept? (2)
What makes a good privacy concept? (3)
What makes a good privacy concept? (4)
Differentially Private Computations
What can be computed with differential Privacy?
What differential privacy is not?
U.S. Census Bureau
GOOGLE
Apple
Some challenges
A perspective talk
Data Privacy: The Problem
A computer scientist and a legal scholar meet at the Simons Institute
What does "protecting individual privacy" mean?
Legal approach