Milad Nasr, Jamie Hayes, Thomas Steinke 0002, Borja Balle, Florian Tramèr, Matthew Jagielski, Nicholas Carlini, Andreas Terzis. Tight Auditing of Differentially Private Machine Learning. In Joseph A. Calandrino, Carmela Troncoso, editors, 32nd USENIX Security Symposium, USENIX Security 2023, Anaheim, CA, USA, August 9-11, 2023. pages 1631-1648, USENIX Association, 2023. [doi]
@inproceedings{NasrH0BTJCT23,
title = {Tight Auditing of Differentially Private Machine Learning},
author = {Milad Nasr and Jamie Hayes and Thomas Steinke 0002 and Borja Balle and Florian Tramèr and Matthew Jagielski and Nicholas Carlini and Andreas Terzis},
year = {2023},
url = {https://www.usenix.org/conference/usenixsecurity23/presentation/nasr},
researchr = {https://researchr.org/publication/NasrH0BTJCT23},
cites = {0},
citedby = {0},
pages = {1631-1648},
booktitle = {32nd USENIX Security Symposium, USENIX Security 2023, Anaheim, CA, USA, August 9-11, 2023},
editor = {Joseph A. Calandrino and Carmela Troncoso},
publisher = {USENIX Association},
}