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Deep Learning with Differential Privacy

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
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
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
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
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
Technical Privacy Metrics: a Systematic Survey
Isabel Wagner
D. Eckhoff
16
166
0
01 Dec 2015
Efficient Per-Example Gradient Computations
Efficient Per-Example Gradient Computations
Ian Goodfellow
186
75
0
07 Oct 2015
Learning Privately with Labeled and Unlabeled Examples
Learning Privately with Labeled and Unlabeled Examples
A. Beimel
Kobbi Nissim
Uri Stemmer
40
23
0
10 Jul 2014
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