Joshua Allen

According to our database, Joshua Allen authored at least 8 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Evaluating the Fairness Impact of Differentially Private Synthetic Data.

Blake Bullwinkel, Kristen Grabarz, Lily Ke, Scarlett Gong, Chris Tanner, Joshua Allen

CoRR, 2022

Spending Privacy Budget Fairly and Wisely.

Lucas Rosenblatt, Joshua Allen, Julia Stoyanovich

CoRR, 2022

2021

U.S. Broadband Coverage Data Set: A Differentially Private Data Release.

Mayana Pereira, Allen Kim, Joshua Allen, Kevin White, Juan Lavista Ferres, Rahul Dodhia

CoRR, 2021

2020

Differentially Private Synthetic Data: Applied Evaluations and Enhancements.

Lucas Rosenblatt, Xiaoyan Liu, Samira Pouyanfar, Eduardo de Leon, Anuj Desai, Joshua Allen

CoRR, 2020

Distributed Differentially Private Mutual Information Ranking and Its Applications.

Ankit Srivastava, Samira Pouyanfar, Joshua Allen, Ken Johnston, Qida Ma

Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020

2019

An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors.

Joshua Allen, Bolin Ding, Janardhan Kulkarni, Harsha Nori, Olga Ohrimenko, Sergey Yekhanin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Ontology-Based Supervised Concept Learning for the Biogeochemical Literature.

Deya Banisakher, Maria E. Presa Reyes, Joshua D. Eisenberg, Joshua Allen, Mark A. Finlayson, René Price, Shu-Ching Chen

Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018

Comparing Population Means Under Local Differential Privacy: With Significance and Power.

Bolin Ding, Harsha Nori, Paul Li, Joshua Allen

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018