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PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party
  Setting

PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting

19 February 2021
Ismat Jarin
Birhanu Eshete
ArXivPDFHTML

Papers citing "PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting"

14 / 14 papers shown
Title
An Overview of Privacy in Machine Learning
An Overview of Privacy in Machine Learning
Emiliano De Cristofaro
SILM
55
84
0
18 May 2020
Privacy-Preserving Collaborative Prediction using Random Forests
Privacy-Preserving Collaborative Prediction using Random Forests
Irene Giacomelli
S. Jha
Ross Kleiman
David Page
Kyonghwan Yoon
68
24
0
21 Nov 2018
A New Approach to Privacy-Preserving Clinical Decision Support Systems
A New Approach to Privacy-Preserving Clinical Decision Support Systems
T. Attema
E. Mancini
G. Spini
Mark Abspoel
Jan de Gier
...
M. V. Heesch
D. Worm
Andrea De Luca
R. Cramer
P. Sloot
44
4
0
02 Oct 2018
Computer-aided proofs for multiparty computation with active security
Computer-aided proofs for multiparty computation with active security
Helene Haagh
Aleksandr Karbyshev
Sabine Oechsner
Bas Spitters
Pierre-Yves Strub
36
26
0
19 Jun 2018
Scalable Private Learning with PATE
Scalable Private Learning with PATE
Nicolas Papernot
Shuang Song
Ilya Mironov
A. Raghunathan
Kunal Talwar
Ulfar Erlingsson
92
613
0
24 Feb 2018
Chameleon: A Hybrid Secure Computation Framework for Machine Learning
  Applications
Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications
M. Riazi
Christian Weinert
Oleksandr Tkachenko
Ebrahim M. Songhori
T. Schneider
F. Koushanfar
FedML
44
493
0
10 Jan 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
246
8,856
0
25 Aug 2017
Deep Reinforcement Learning framework for Autonomous Driving
Deep Reinforcement Learning framework for Autonomous Driving
Ahmad El-Sallab
Mohammed Abdou
E. Perot
S. Yogamani
69
969
0
08 Apr 2017
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLR
MIALM
MIACV
228
4,103
0
18 Oct 2016
Semi-supervised Knowledge Transfer for Deep Learning from Private
  Training Data
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data
Nicolas Papernot
Martín Abadi
Ulfar Erlingsson
Ian Goodfellow
Kunal Talwar
73
1,015
0
18 Oct 2016
Stealing Machine Learning Models via Prediction APIs
Stealing Machine Learning Models via Prediction APIs
Florian Tramèr
Fan Zhang
Ari Juels
Michael K. Reiter
Thomas Ristenpart
SILM
MLAU
99
1,803
0
09 Sep 2016
Deep Learning with Differential Privacy
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedML
SyDa
189
6,109
0
01 Jul 2016
An Improved E-voting scheme using Secret Sharing based Secure
  Multi-party Computation
An Improved E-voting scheme using Secret Sharing based Secure Multi-party Computation
Divya G. Nair
V. Binu
G. Santhosh Kumar
26
40
0
26 Feb 2015
Differentially Private Empirical Risk Minimization
Differentially Private Empirical Risk Minimization
Kamalika Chaudhuri
C. Monteleoni
Anand D. Sarwate
121
1,487
0
01 Dec 2009
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