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Beyond the Calibration Point: Mechanism Comparison in Differential Privacy

Beyond the Calibration Point: Mechanism Comparison in Differential Privacy

Georgios Kaissis
Stefan Kolek
Borja Balle
Jamie Hayes
Daniel Rueckert
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Papers citing "Beyond the Calibration Point: Mechanism Comparison in Differential Privacy"

6 / 6 papers shown
Title
Empirical Privacy Variance
Empirical Privacy Variance
Yuzheng Hu
Fan Wu
Ruicheng Xian
Yuhang Liu
Lydia Zakynthinou
Pritish Kamath
Chiyuan Zhang
David A. Forsyth
89
0
0
16 Mar 2025
Reconstructing Training Data with Informed Adversaries
Reconstructing Training Data with Informed Adversaries
Borja Balle
Giovanni Cherubin
Jamie Hayes
MIACV
AAML
79
167
0
13 Jan 2022
Optimal Accounting of Differential Privacy via Characteristic Function
Optimal Accounting of Differential Privacy via Characteristic Function
Yuqing Zhu
Jinshuo Dong
Yu Wang
43
102
0
16 Jun 2021
Numerical Composition of Differential Privacy
Numerical Composition of Differential Privacy
Sivakanth Gopi
Y. Lee
Lukas Wutschitz
47
178
0
05 Jun 2021
Bayes Security: A Not So Average Metric
Bayes Security: A Not So Average Metric
K. Chatzikokolakis
Giovanni Cherubin
C. Palamidessi
Carmela Troncoso
32
14
0
06 Nov 2020
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
Nicolas Papernot
Abhradeep Thakurta
Shuang Song
Steve Chien
Ulfar Erlingsson
AAML
172
179
0
28 Jul 2020

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