* Author list is ordered alphabetically as there is equal contribution.
4 pages Accepted by the ICML 2021 workshop on "A Blessing in Disguise:The
Prospects and Perils of Adversarial Machine Learning" Access Paper or Ask Questions
* Presented at Critiquing and Correcting Trends in Machine Learning
(NeurIPS 2018 Workshop), Montreal, Canada. This is a short version of
arXiv:1806.02711 Access Paper or Ask Questions
* An earlier version (v1/v2) by Seda G\"urses, Rebekah Overdorf, and
Ero Balsa was presented at The Workshop on Hot Topics in Privacy Enhancing
Technologies 2018 (HotPETs) and as a Poster at Privacy in Machine Learning
and Artificial Intelligence, FAIM Workshop 2018 (PiMLAI) Access Paper or Ask Questions