Statistical Modeling by Gesture: A graphical, Browser-based Statistical Interface for Data Repositories. - James Honaker; Vito D'Orazio (HT (Doctoral Consortium / Late-breaking Results / Workshops), 2014)

PSI (Ψ): a Private data Sharing Interface. - Marco Gaboardi; James Honaker; Gary King; Kobbi Nissim; Jonathan R. Ullman; Salil P. Vadhan (CoRR, 2016)

Modeling and Forecasting Armed Conflict: AutoML with Human-Guided Machine Learning. - Vito D'Orazio; James Honaker; Raman Prasady; Michael Shoemate (IEEE BigData, 2019)

Towards human-guided machine learning. - Yolanda Gil; James Honaker; Shikhar Gupta; Yibo Ma; Vito D'Orazio; Daniel Garijo; Shruti Gadewar; Qifan Yang; Neda Jahanshad (IUI, 2019)

Privacy-Preserving Randomized Controlled Trials: A Protocol for Industry Scale Deployment. - Mahnush Movahedi; Benjamin M. Case; James Honaker; Andrew Knox; Li Li; Yiming Paul Li; Sanjay Saravanan; Shubho Sengupta; Erik Taubeneck (CCSW, 2021)

The Privacy-preserving Padding Problem: Non-negative Mechanisms for Conservative Answers with Differential Privacy. - Benjamin M. Case; James Honaker; Mahnush Movahedi (CoRR, 2021)

Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy. - Christian Covington; Xi He 001; James Honaker; Gautam Kamath 001 (CoRR, 2021)

Sotto Voce: Federated Speech Recognition with Differential Privacy Guarantees. - Michael Shoemate; Kevin Jett; Ethan Cowan; Sean Colbath; James Honaker; Prasanna Muthukumar (CoRR, 2022)

Private Means and the Curious Incident of the Free Lunch. - Jack Fitzsimons; James Honaker; Michael Shoemate; Vikrant Singhal (CoRR, 2024)