Quantifying Privacy in Law
Talkat Data Privacy: From Foundations to Applications (Simons Institute workshop, 2019) · 2019-03-04..03-08·
summary
Law treats privacy more as enforceable violations than a single formal value and is willing to quantify some things (the HIPAA safe harbor removes 18 identifiers) while resisting others. Empirical examples: k‑anonymity fails against attribute disclosure and adversary background knowledge (Netflix), courts accept probabilistic damages via the loss of chance doctrine, and differential privacy gives a precise technical guarantee but treats all violating dataset/outcome pairs uniformly, which may not map plausibly onto legal judgments about which harms matter.
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chapters (11)
- 0:00Start
- 2:36HIPAA Safe Harbor
- 3:29GDPR, Art. 4
- 4:05Children's Online Privacy Protection Act (COPPA)
- 4:15COPPA Rule
- 7:59Netflix Prize
- 9:47Loss of Chance Doctrine
- 18:03HIPAA Security Rule
- 26:06Differential Privacy
- 34:29EU General Data Protection Regulation (GDPR)
- 35:10Three Principles
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