My favourite guide to giving talks is this document written by John E. McCarthy.
Algorithms and Complexity Seminar, MIT, Nov 20, 2019
The Structure of Optimal Private Tests for Simple Hypotheses
AI seminar, UCSD, Sept 30, 2019
The Structure of Optimal Private Tests for Simple Hypotheses
STOC, June 23, 2019.
The Structure of Optimal Private Tests for Simple Hypotheses
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness workship, Institute for Mathematics and its Applications, June 19, 2019.
The Structure of Optimal Private Tests for Simple Hypotheses
Algorithms and Theory Seminar, Boston University, Nov 26, 2018.
The Structure of Optimal Private Tests for Simple Hypotheses
Boston University Postdoc Seminar Series, Boston University, August 31, 2018.
Differential Privacy: Perserving Privacy in a Data-driven World
Theory group, Microsoft Research Redmond, April 9, 2018
Differential Privacy as a Stability Notion for Online Learning
Conference on Information Systems and Sciences (CISS), Princeton, March 23, 2018.
Local Differential Privacy for Physical Sensor Data
Warren Center for Network & Data Sciences, University of Pennsylvania, February 12, 2018.
Local Differential Privacy for Physical Sensor Data
ACO Student Seminar, Georgia Tech, Feb 2, 2018.
Local Differential Privacy for Physical Sensor Data
Theory Seminar, College of Computer and Information Sciences, Northeastern University, Jan 30, 2018.
Local Differential Privacy for Physical Sensor Data
Algorithms Seminar, Department of Computer Science, Duke University, Jan 25, 2018.
Local Differential Privacy for Physical Sensor Data
Security Seminar, School of Electrical Engineering and Computer Science, Boston University, Oct 4, 2017.
Local Differential Privacy for Physical Sensor Data
Student Applied Mathematics Seminar, University of Michigan, February 24, 2017.
Local Differential Privacy for Physical Sensor Data
Student Applied Math Seminar, University of Michigan, Nov 10, 2017
Differential Privacy and applications to Mechanism Design
Sparsity Reading Seminar, University of Michigan, January 25, 2017.
Convex Relaxation for Sparse Recovery
Student Applied Mathematics Seminar, University of Michigan, November 20, 2015
An Introduction to Differential Privacy and VC-dimension