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
Theory and Practices of Differential Privacy workshop (TPDP 2019), London on Nov 11, 2019.
Private Hypothesis Testing via Robustness
AI seminar, UCSD, Sept 30, 2019
STOC, June 23, 2019.
Recent Themes in Resource Tradeoffs: Privacy, Fairness and Robustness workship, Institute for Mathematics and its Applications, June 19, 2019.
Privacy and the Science of Data Analysis Workshop, Simons Institute, April 8, 2019.
Algorithms and Theory Seminar, Boston University, Nov 26, 2018.
Boston University Postdoc Seminar Series, Boston University, August 31, 2018.
Differential Privacy: Perserving Privacy in a Data-driven World
Data Science Team, Alibaba Bellevue, April 11, 2018.
An Introduction to Differential Privacy
Theory group, Microsoft Research Redmond, April 9, 2018
Differential Privacy as a Stability Notion for Online Learning
Michigan Data Science Team meeting, University of Michigan, March 29, 2018
Introduction to Differential Privacy
Conference on Information Systems and Sciences (CISS), Princeton, March 23, 2018.
Local Differential Privacy for Physical Sensor Data
Thesis defense, University of Michigan, March 13, 2018.
Differential Privacy, Property Testing and Perturbations
Warren Center for Network & Data Sciences, University of Pennsylvania, February 12, 2018.
ACO Student Seminar, Georgia Tech, Feb 2, 2018.
Theory Seminar, College of Computer and Information Sciences, Northeastern University, Jan 30, 2018.
Algorithms Seminar, Department of Computer Science, Duke University, Jan 25, 2018.
Security Seminar, School of Electrical Engineering and Computer Science, Boston University, Oct 4, 2017.
Student Applied Mathematics Seminar, University of Michigan, February 24, 2017.
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