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

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

Privacy and the Science of Data Analysis Workshop, Simons Institute, April 8, 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

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.

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

Please reload

© 2018 by Audra McMillan. Proudly created with Wix.com

This site was designed with the
.com
website builder. Create your website today.
Start Now