Towards Differentially Private Machine Learning Models and their Robustness To Adversaries
- -2022Authors
Mancino Alberto Carlo Maria,
Di Noia Tommaso Download: _CAMERA_READY__ICWE_2022___Doctoral_Symposium.pdfDOI
https://doi.org/10.1007/978-3-031-09917-5_35BibTex references
@Proceedings{MD22,
editor = "Mancino, Alberto Carlo Maria and Di Noia, Tommaso",
title = "Towards Differentially Private Machine Learning Models and their Robustness To Adversaries",
year = "2022",
url = "http://sisinflab.poliba.it/Publications/2022/MD22"
}