An Algorithm for Approximating Continuous Functions on Compact Subsets with a Neural Network with one Hidden Layer. - Elliott Zaresky-Williams (CoRR, 2019)

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 (NeurIPS, 2022)

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 (AISec@CCS, 2023)

EMBER2024 - A Benchmark Dataset for Holistic Evaluation of Malware Classifiers. - Robert J. Joyce; Gideon Miller; Phil Roth 002; Richard Zak; Elliott Zaresky-Williams; Hyrum S. Anderson; Edward Raff; James Holt (KDD (2), 2025)