Talks

  • Differentially Private Stochastic Non-convex Optimization, Rutgers, ISE Seminar, November 2021.

  • Stability of SGD on Non-smooth Convex Losses and Applications to Differentially Private Stochastic Optimization, Google, Learning Theory Seminar, NYC, April 2021.

  • Harnessing Public Data in Privacy-Preserving Machine Learning, The Translational Data Analytics Speaker Series, OSU, March 2021.

  • Private Learning Assisted by Public Data, Boston University, Dec 2020.

  • Fast Convergence of SGD in Modern Overparameterized Machine Learning, The 6th International Conference on Continuous Optimization, Berlin, Germany, August 2019.

  • Private Learning with Auxiliary Public Data

    • Workshop on Data Science & Privacy, The Simons Institute for the Theory of Computing, April 2019. [Video]

  • Model-Agnostic Private Learning

    • Boston University, Theory Seminar, Dec. 2018.

    • NEURIPS (formerly known as NIPS) oral presentation, Montreal, Canada, Dec. 2018

    • BIRS Program on Mathematical Foundations of Data Privacy, Banff, April 2018 . [Video]

  • Algorithmic Stability for Adaptive Analysis

    • Information Theory and Applications Workshop (ITA 2016), February 2016.

    • UCSD, AI Seminar, November 2015.

  • Privacy-Preserving Statistical Analysis [Slides]

    • Google, Mountain View, CA, March 2015.

    • Yahoo! Labs, Sunnyvale, CA, February 2015.

    • IBM Research, Almaden, CA, February 2015.

  • Local, Private, Efficient Protocols for Succinct Histograms [Slides]

    • Information Theory and Applications (ITA) Workshop, San Diego, February 2015.

  • Private Convex Optimization [Slides]

    • FOCS 2014, Philadelphia, PA, October 2014.

    • Penn State, Theory Seminar, CSE Department, September 2014.

  • Coding for Causal Adversarial Channels: Between Shannon and Hamming [Slides]

    • Harvard University, CS Theory Seminar, April 2014.

    • SODA 2014, Portland, Oregon, January 2014 (short version).

    • University of California Los Angeles, CS Crypto/Theory Seminar, November 2013.

    • University of California San Diego, ECE Seminar, November 2013.

  • Coupled-Worlds Privacy: Exploiting Adversarial Uncertainty in Statistical Data Privacy [Slides]

    • Harvard University, Privacy Tools Group, October 2013.

    • Boston University, BU-Security Seminar, CS Department, October 2013.

    • Cornell University, CDI Project meeting, May 2013.