Attending TPDP

To attend TPDP, one must register for ICML 2021, which includes workshop registration. The cost is $25 USD for students, and $100 USD for everyone else. If the cost of registration is prohibitive for you to attend, please email the chairs Rachel and Gautam.


(all listed times are Eastern time)

10:00-10:05 Opening Remarks
10:05-10:45 Privacy as Stability, for Generalization
Katrina Ligett (Invited Speaker)
10:45-11:30 Poster Session 1
11:30-11:55 Break
11:55-12:40 The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation
Peter Kairouz, Ziyu Liu, Thomas Steinke

Differentially Private Sampling from Distributions
Sofya Raskhodnikova, Satchit Sivakumar, Adam Smith, Marika Swanberg

Differentially Private Algorithms for 2020 Decennial Census Detailed DHC Race & Ethnicity
Samuel Haney, William Sexton, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau
12:40-1:40 Lunch Break/Junior-Senior Mentoring (signup sheet)
1:40-2:25 Hiding Among the Clones: A Simple and Nearly Optimal Analysis of Privacy Amplification by Shuffling
Vitaly Feldman, Audra McMillan, Kunal Talwar

Adaptive Machine Unlearning
Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Chris Waites

A Practitioners Guide to Differentially Private Convex Optimization
Ryan McKenna, Hristo Paskov, Kunal Talwar
2:25-3:10 Poster Session 2
3:10-3:35 Break
3:35-4:15 Deploying Differential Privacy in Industry: Progress and Learnings
Ryan Rogers (Invited Speaker)
4:15-5:00 Poster Session 3
5:00-6:00 Social Hour!


This year's TPDP posters will be divided into three poster sessions.

Poster Session 1:

Poster Session 2:

Poster Session 3:


Differential privacy is a promising approach to privacy-preserving data analysis. Differential privacy provides strong worst-case guarantees about the harm that a user could suffer from participating in a differentially private data analysis, but is also flexible enough to allow for a wide variety of data analyses to be performed with a high degree of utility. Having already been the subject of a decade of intense scientific study, it has also now been deployed at government agencies such as the U.S. Census Bureau and companies including Apple, Google, Facebook, and Microsoft.

Researchers in differential privacy span many distinct research communities, including algorithms, computer security, cryptography, databases, data mining, machine learning, statistics, programming languages, social sciences, and law. This workshop will bring researchers from these communities together to discuss recent developments in both the theory and practice of differential privacy.

Specific topics of interest for the workshop include (but are not limited to):


The goal of TPDP is to stimulate the discussion on the relevance of differentially private data analyses in practice. For this reason, we seek contributions from different research areas of computer science and statistics.

Authors are invited to submit a short abstract (4 pages + references maximum) of their work. Submissions are single-blind (non-anonymized), and there is no prescribed style file (though authors should be considerate of reviewers in their selection).

Submissions will undergo a lightweight review process and will be judged on originality, relevance, interest and clarity. Submission should describe novel work or work that has already appeared elsewhere but that can stimulate the discussion between different communities at the workshop. Accepted abstracts will be presented at the workshop either as a talk or a poster.

The workshop will not have formal proceedings and is not intended to preclude later publication at another venue.

Selected papers from the workshop will be invited to submit a full version of their work for publication in a special issue of the Journal of Privacy and Confidentiality.

Call for Papers: PDF

Invited Speakers

Important Dates

Abstract Submission
May 28 29, 2021 (AoE)
Note that there will be no further extensions to the deadline this year.
July 7, 2021
July 23, 2021

Organizing and Program Committee

Submission website

OpenReview TPDP 2021
Note the “open” features of OpenReview will not be used, and visibility of all submissions, reviews, and accepted papers will be restricted to the program committee (similar other systems like EasyChair, CMT, HotCRP, etc.).