*=equal contribution; **=equal advising
Practitioners’ Perspectives on a Differential Privacy Deployment Registry
Priyanka Nanayakkara, Elena Ghazi, Salil Vadhan
Preprint | blog post
🏆 Best poster/demo at NYC Privacy Day
“Having Confidence in My Confidence Intervals”: How Data Users Engage with Privacy-Protected Wikipedia Data
Hal Triedman*, Jayshree Sarathy*, Priyanka Nanayakkara, Rachel Cummings**, Gabriel Kaptchuk**, Sean Kross**, and Elissa M. Redmiles**
Preprint
Trust and Friction: Negotiating How Information Flows Through Decentralized Social Media
Sohyeon Hwang, Priyanka Nanayakkara, Yan Shvartzshnaider
CSCW 2025 | PDF | blog post
🏆 Best paper honorable mention
Models Matter: Setting Accurate Privacy Expectations for Local and Central Differential Privacy
Mary Anne Smart, Priyanka Nanayakkara, Rachel Cummings**, Gabriel Kaptchuk**, Elissa Redmiles**
PETS 2025 | PDF
🔦 Spotlight talk at TPDP 2023 | video
Measure-Observe-Remeasure: An Interactive Paradigm for Differentially-Private Exploratory Analysis
Priyanka Nanayakkara, Hyeok Kim, Yifan Wu, Ali Sarvghad, Narges Mahyar, Gerome Miklau, Jessica Hullman
IEEE S&P 2024 | PDF | video
REFORMS: Consensus-based Recommendations for Machine-learning-based Science
Sayash Kapoor, Emily Cantrell, Kenny Peng, Thanh Hien Pham, Christopher A. Bail, Odd Erik Gundersen, Jake M. Hofman, Jessica Hullman, Michael A. Lones, Momin M. Malik, Priyanka Nanayakkara, Russell A. Poldrack, Inioluwa Deborah Raji, Michael Roberts, Matthew J. Salganik, Marta Serra-Garcia, Brandon M. Stewart, Gilles Vandewiele, Arvind Narayanan
Science Advances | PDF
What Are the Chances? Explaining the Epsilon Parameter in Differential Privacy
Priyanka Nanayakkara, Mary Anne Smart, Rachel Cummings**, Gabriel Kaptchuk**, Elissa Redmiles**
USENIX Security Symposium 2023 | PDF | blog post
🔦 Spotlight talk at TPDP 2023 | video
What’s Driving Conflicts in Debates around Differential Privacy for the U.S. Census
Priyanka Nanayakkara and Jessica Hullman
IEEE S&P Magazine | PDF
Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews
David Liu*, Priyanka Nanayakkara*, Sarah Sakha, Grace Abuhamad, Su Lin Blodgett, Nicholas Diakopoulos, Jessica Hullman, Tina Eliassi-Rad
AIES 2022 | PDF
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning
Jessica Hullman, Sayash Kapoor, Priyanka Nanayakkara, Andrew Gelman, Arvind Narayanan
AIES 2022 | PDF
Visualizing Privacy–Utility Trade-Offs in Differentially Private Data Releases
Priyanka Nanayakkara, Johes Bater, Xi He, Jessica Hullman, Jennie Rogers
PETS 2022 | PDF | demo | video | blog post | another blog post
🔦 Spotlight talk at TPDP @ ICML 2022 | video
Unpacking the expressed consequences of AI research in broader impact statements
Priyanka Nanayakkara, Jessica Hullman, Nicholas Diakopoulos
AIES 2021 | PDF | blog post | video
What to Consider When Considering Differential Privacy for Policy
Priyanka Nanayakkara and Jessica Hullman
Policy Insights from the Behavioral and Brain Sciences 2024 | PDF | Policy brief by IPR
A Community-Driven Differential Privacy Deployment Registry
Micah Altman, Sharon Ayalde, Rachel Cummings, Damien Desfontaines, Jack Fitzsimons, Elena Ghazi, Andrew Gruen, James Honaker, Gary Howarth, Nitin Kohli, Chuck McCallum, Priyanka Nanayakkara, Joseph P. Near, Robert Pisarczyk, Salil Vadhan
PDF
Whose Policy? Privacy Challenges of Decentralized Platforms
Sohyeon Hwang, Priyanka Nanayakkara, Yan Shvartzshnaider
CHI 2023 Design Policy Workshop | PDF
Anticipatory ethics and the role of uncertainty
Priyanka Nanayakkara, Nicholas Diakopoulos, Jessica Hullman
Navigating the Broader Impacts of AI Research Workshop at NeurIPS 2020 | PDF | video
Toward better communication of uncertainty in science journalism
Priyanka Nanayakkara and Jessica Hullman
Computation + Journalism 2020 | PDF