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Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning
11 January 2021
Milad Nasr
Shuang Song
Abhradeep Thakurta
Nicolas Papernot
Nicholas Carlini
MIACV
FedML
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Papers citing
"Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning"
2 / 152 papers shown
Title
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models
Yixi Xu
Soumendu Sundar Mukherjee
Xiyang Liu
Shruti Tople
Rahul Dodhia
J. L. Ferres
MIACV
19
11
0
11 Sep 2020
When Machine Unlearning Jeopardizes Privacy
Min Chen
Zhikun Zhang
Tianhao Wang
Michael Backes
Mathias Humbert
Yang Zhang
MIACV
31
217
0
05 May 2020
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