TwoRavens for Event Data. - Vito D'Orazio; Marcus Deng; Michael Shoemate (IRI, 2018)

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

UTDEventData: An R package to access political event data. - HyoungAh Kim; Vito D'Orazio; Patrick T. Brandt; Michael Shoemate; Sayeed Salam; Latifur Khan; Jared Looper (J. Open Source Softw., 2019)

KateHyoung/UTDEventData: UTDEventData create 1.0.0. - HyoungAh Kim; Vito D'Orazio; Patrick T. Brandt; Michael Shoemate; Sayeed Salam; Latifur Khan; Jared Looper (Zenodo, 2019)

An Ecosystem of Applications for Modeling Political Violence. - Aline Bessa; Sonia Castelo; Rémi Rampin; Aécio S. R. Santos; Michael Shoemate; Vito D'Orazio; Juliana Freire (SIGMOD Conference, 2021)

Widespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix It. - Sílvia Casacuberta; Michael Shoemate; Salil P. Vadhan; Connor Wagaman (CCS, 2022)

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

Concurrent Composition for Interactive Differential Privacy with Adaptive Privacy-Loss Parameters. - Samuel Haney; Michael Shoemate; Grace Tian; Salil P. Vadhan; Andrew Vyrros; Vicki Xu; Wanrong Zhang 001 (CCS, 2023)

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

"I inherently just trust that it works": Investigating Mental Models of Open-Source Libraries for Differential Privacy. - Patrick Song; Jayshree Sarathy; Michael Shoemate; Salil P. Vadhan (Proc. ACM Hum. Comput. Interact., 2024)