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Offline Model Guard: Secure and Private ML on Mobile Devices

Offline Model Guard: Secure and Private ML on Mobile Devices

5 July 2020
Sebastian P. Bayerl
Tommaso Frassetto
Patrick Jauernig
Korbinian Riedhammer
A. Sadeghi
T. Schneider
Emmanuel Stapf
Christian Weinert
    OffRL
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Papers citing "Offline Model Guard: Secure and Private ML on Mobile Devices"

5 / 5 papers shown
Title
Privacy-Preserving Epidemiological Modeling on Mobile Graphs
Privacy-Preserving Epidemiological Modeling on Mobile Graphs
Daniel Gunther
Marco Holz
B. Judkewitz
Helen Mollering
Benny Pinkas
T. Schneider
Ajith Suresh
39
4
0
01 Jun 2022
Confidential Machine Learning Computation in Untrusted Environments: A
  Systems Security Perspective
Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective
Kha Dinh Duy
Taehyun Noh
Siwon Huh
Hojoon Lee
56
9
0
05 Nov 2021
GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural
  Networks
GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks
Qiao Zhang
Chunsheng Xin
Hongyi Wu
27
49
0
05 May 2021
Premium Access to Convolutional Neural Networks
Premium Access to Convolutional Neural Networks
Julien Bringer
H. Chabanne
Linda Guiga
HAI
6
0
0
22 May 2020
Slalom: Fast, Verifiable and Private Execution of Neural Networks in
  Trusted Hardware
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
Florian Tramèr
Dan Boneh
FedML
114
395
0
08 Jun 2018
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