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How Do Input Attributes Impact the Privacy Loss in Differential Privacy?

How Do Input Attributes Impact the Privacy Loss in Differential Privacy?

18 November 2022
Tamara T. Mueller
Stefan Kolek
F. Jungmann
Alexander Ziller
Dmitrii Usynin
Moritz Knolle
Daniel Rueckert
Georgios Kaissis
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Papers citing "How Do Input Attributes Impact the Privacy Loss in Differential Privacy?"

5 / 5 papers shown
Title
SoK: Memorisation in machine learning
SoK: Memorisation in machine learning
Dmitrii Usynin
Moritz Knolle
Georgios Kaissis
27
1
0
06 Nov 2023
Incentivising the federation: gradient-based metrics for data selection
  and valuation in private decentralised training
Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training
Dmitrii Usynin
Daniel Rueckert
Georgios Kaissis
FedML
28
2
0
04 May 2023
Bounding Training Data Reconstruction in Private (Deep) Learning
Bounding Training Data Reconstruction in Private (Deep) Learning
Chuan Guo
Brian Karrer
Kamalika Chaudhuri
Laurens van der Maaten
115
53
0
28 Jan 2022
A Survey on Neural Network Interpretability
A Survey on Neural Network Interpretability
Yu Zhang
Peter Tiño
A. Leonardis
K. Tang
FaML
XAI
144
665
0
28 Dec 2020
Individual Privacy Accounting via a Renyi Filter
Individual Privacy Accounting via a Renyi Filter
Vitaly Feldman
Tijana Zrnic
66
86
0
25 Aug 2020
1