Privacy Nightmares while Using ML/AI
summary
Covers privacy risks that arise when applications mine personal data with machine learning and AI, and presents a framework that integrates ML with privacy and data-security technologies to mitigate those risks.
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chapters (14)
- 0:00Start
- 1:34Biographies
- 3:50Outline
- 6:28Problem
- 9:09Solution (Evolving Landscape)
- 11:03Data Privacy Technologies Landscape
- 11:37Preamble
- 13:02Statistical Disclosure Control (SDC)
- 14:23Principles of Privacy Enhancing Technologies
- 15:59Data Minimization
- 17:45Privacy Aware Machine Learning (PAML)
- 21:21Solutions: Distributed / Federated Machine Learning
- 23:16Privacy vs. Utility Trade-off
- 23:42Conclusion
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