Elliott Zaresky-Williams

According to our database, Elliott Zaresky-Williams authored at least 3 papers between 2019 and 2023.

Collaborative distances:

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

2023

Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile.

Tyler LeBlond, Joseph Munoz, Fred Lu, Maya Fuchs, Elliott Zaresky-Williams, Edward Raff, Brian Testa

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

2022

A General Framework for Auditing Differentially Private Machine Learning.

Fred Lu, Joseph Munoz, Maya Fuchs, Tyler LeBlond, Elliott Zaresky-Williams, Edward Raff, Francis Ferraro, Brian Testa

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2019

An Algorithm for Approximating Continuous Functions on Compact Subsets with a Neural Network with one Hidden Layer.

Elliott Zaresky-Williams

CoRR, 2019