Privacy in the Digital Age - CS 5436 / INFO 5303

This course surveys the current state of digital privacy from multiple perspectives, including technology, philosophy, ethics, law, and policy. Privacy poses equally difficult challenges to technologists, policy makers, and ethicists. They must understand what privacy means in their respective domains, as well as the mutual impacts of the domains on one another. The course will review key technologies, including web and mobile tracking, location tracking, privacy engineering, data analytics and differential privacy, facial recognition, and more. It will also introduce students to different approaches to privacy, including technical, empirical, legal, and ethical. When addressing privacy threats in these areas, as well as potential solutions, the course sets out to pair a review of relevant technologies with a review of associated considerations in law and policy, ethics, and social sciences.


Textbook: Nissenbaum. "Privacy in Context".


Jan 24. Course overview. Jan 26. Web tracking and online advertising. Jan 31. Cross-device tracking. Feb 2. Ethical and philosophical approaches to privacy. Feb 7. Privacy harms and privacy puzzles. Feb 9. Contextual integrity (part 1). Feb 14. Mobile tracking and fingerprinting. Feb 16. Location tracking. Feb 21. Privacy policies. Feb 23. Contextual integrity (part 2). Mar 2. End-2-end secure communications and "going dark". Mar 7. Joseph Turow: What can we learn from large-scale privacy surveys? Mar 9. Anonymity networks and censorship resistance. Mar 14. U.S. legal landscape. Mar 16. U.S. legal landscape (cont'd). Mar 21. Elettra Bietti: European Union General Data Protection Regulation (GDPR). Mar 23. Data anonymization and re-identification. Mar 28. Introduction to differential privacy. Mar 30. Data analytics with differential privacy. Apr 11. Face recognition. Privacy of biometrics. Apr 13. The threat of "big data". Apr 18. Ero Balsa: Privacy by design. Apr 20. Bart Knijnenburg: Usable privacy. Apr 25. Genomic privacy. Apr 27. Eugene Bagdasaryan: Privacy issues in machine learning. May 2. Secure multi-party computation and private ad attribution. May 4. Chad Brubaker: Privacy design in the real world. May 9. "Smart home" and IoT privacy.




Spring 2023
Tu Th 11:25a-12:40p
Helen Nissenbaum

Vitaly Shmatikov

TA: Ben Laufer

TA: Kenny Peng