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1607.00133
Cited By
Deep Learning with Differential Privacy
1 July 2016
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedML
SyDa
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Papers citing
"Deep Learning with Differential Privacy"
7 / 1,157 papers shown
Title
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLR
MIALM
MIACV
160
4,040
0
18 Oct 2016
Federated Optimization: Distributed Machine Learning for On-Device Intelligence
Jakub Konecný
H. B. McMahan
Daniel Ramage
Peter Richtárik
FedML
76
1,877
0
08 Oct 2016
Concrete Problems in AI Safety
Dario Amodei
C. Olah
Jacob Steinhardt
Paul Christiano
John Schulman
Dandelion Mané
83
2,324
0
21 Jun 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
124
17,088
0
17 Feb 2016
Technical Privacy Metrics: a Systematic Survey
Isabel Wagner
D. Eckhoff
16
166
0
01 Dec 2015
Efficient Per-Example Gradient Computations
Ian Goodfellow
186
75
0
07 Oct 2015
Learning Privately with Labeled and Unlabeled Examples
A. Beimel
Kobbi Nissim
Uri Stemmer
40
23
0
10 Jul 2014
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