Instructor
Myna Vajha
Timings and Venue (Tentative)
Slot P: Monday: 2.30-4pm, Thursday: 4-5.30pm
Segments: 3-6
Credits: 2
Venue: A221
First class on Monday, 31st August, 2.30pm
Outline (Tentative)
Indentification Attacks
Reconstruction Attacks
Differential Privacy
Randomized Response
Laplace Mechanism
Exponential Mechanism
Composition Theorems and Properties
Approximate Differential Privacy
Gaussian Mechanism
Applications to Statistics
Private mean estimation
Private Hypothesis Testing
Applications to Machine Learning
Private Emperical Risk Minimization
Private Stochastic Gradient Descent
References
Cynthia Dwork and Aaron Roth: The Algorithmic Foundations of Differential Privacy
Salil Vadhan: The Complexity Of Differential Privacy
Lectures on Differential Privacy by Gowtham Kamath
Lectures on Differntial Privacy by Adam Smith and Jonathan Ullmann
Joseph P. Near and Chike Abuah: Programming Differential Privacy