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2310.12112
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A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses
18 October 2023
Caelin Kaplan
Chuan Xu
Othmane Marfoq
Giovanni Neglia
Anderson Santana de Oliveira
AAML
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Papers citing
"A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses"
4 / 4 papers shown
Title
Hyperparameter Tuning with Renyi Differential Privacy
Nicolas Papernot
Thomas Steinke
129
119
0
07 Oct 2021
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data
Georgi Ganev
Bristena Oprisanu
Emiliano De Cristofaro
37
57
0
23 Sep 2021
Stealing Links from Graph Neural Networks
Xinlei He
Jinyuan Jia
Michael Backes
Neil Zhenqiang Gong
Yang Zhang
AAML
63
168
0
05 May 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models
Liwei Song
Prateek Mittal
MIACV
196
358
0
24 Mar 2020
1