cs208

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CS 2080 (Applied Privacy for Data Science)

Instructors: Salil Vadhan, James Honaker, and Priyanka Nanayakkara

Teaching Fellows: Zachary Ratliff, Christian Aagnes, Sahil Kuchlous, Jason Tang, Yanis Vandecasteele, and Henry Wu

Regular meeting time: Mondays & Wednesdays 11:15-12:30, starting 1/25

Location: 2.112 in 114 Western Ave, Allston, MA (in the building next to the SEC)

Resources

Schedule

Date Title Slides/Notes Advance Reading
Monday (1/27) Course Overview pdf  
Attacks on Privacy      
Wednesday (1/29) Re-identification Attacks pdf Hands-On Differential Privacy, Chapter 11
Problem Set 1 (due Fri 2/7)   pdf, tex  
Monday (2/3) Reconstruction Attacks pdf1, ipynb, pdf2 Tanner, Narayanan-Shmatikov, Castro-Cavoukian
Wednesday (2/5) Membership Inference Attacks pdf Ruggles-van Riper, Jessica Hullman blog post, Smith-Ullman
Problem Set 2 (due Fri 2/14)   pdf, tex  
DP Foundations      
Monday (2/10) DP Foundations: Definitions, Basic Mechanisms pdf1, ipynb class example, ipynb w/ in-class updates, pdf2 P3G Consortium et al., Hands-On Differential Privacy, Chapter 2 (up to pg. 35)
Wednesday (2/12) DP Foundations: Properties of DP Mechanisms pdf, ipynb class example Hands-on Differential Privacy Ch. 2, pg 35-52
Problem Set 3 (due Fri 2/21)   pdf, tex  
Monday (2/17) No Class - President’s Day      
Wednesday (2/19) Composition pdf Hands-On Differential Privacy, Ch. 3 (pg.53-75)
Problem Set 4 (due Fri 2/28)   pdf, tex  
Monday (2/24) Practicum on Gaussian mechanism and composition pdf nb1 nb2 nb3 Publishing Wikimedia Usage Data Hands-On Differential Privacy, Ch. 3 (pg. 75-84), Ch. 4 (pp.85-92)
Wednesday (2/26) Communicating Differential Privacy pdf Reading 1, Reading 2, Hands-On Differential Privacy, Ch. 5 (pg. 112-115, pg. 120-126) on Privacy Loss Random Variable, Approximate DP, Advanced Composition, and the Gaussian Mechanism
Problem Set 5 (due Fri 3/7)   pdf, tex  
Monday (3/3) Contextual Integrity pdf Helen Nissenbaum, “Privacy in Context” Chapter 7
Implementing Centralized DP      
Wednesday (3/5) Beyond Noise Addition & Synthetic Data pdf Hands-On Differential Privacy, Ch 4. (pg. 94-101 on exponential mechanism), JASON report (Sections 2.0-2.2, 3, and 5.0 (stopping before 5.1)).
Problem Set 6 (due Fri 3/14)   pdf, tex  
Monday (3/10) Statistical Releases: the Opportunity Atlas pdf nb1 nb2 nb3 Opportunity Atlas; Chetty-Friedman JPC (Sec 3)
Wednesday (3/12) Attacks on Utility pdf Alabama Sues to Stop Redistricting Delay, Debate over Census Privacy
Problem Set 7 (due Fri 3/28)   pdf, tex  
Monday (3/17) No Class - Spring Break      
Wednesday (3/19) No Class - Spring Break      
Monday (3/24) Machine Learning with DP pdf nb1 dpsgd nb2 opacus  
Wednesday (3/26) Machine Learning with DP pdf Hands-On Differential Privacy, Ch. 9 (skipping section on PATE)