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Privado: Practical and Secure DNN Inference with Enclaves

Privado: Practical and Secure DNN Inference with Enclaves

1 October 2018
Karan Grover
Shruti Tople
Shweta Shinde
Ranjita Bhagwan
Ramachandran Ramjee
    FedML
    SILM
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Papers citing "Privado: Practical and Secure DNN Inference with Enclaves"

3 / 3 papers shown
Title
Mind Your Weight(s): A Large-scale Study on Insufficient Machine
  Learning Model Protection in Mobile Apps
Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps
Zhichuang Sun
Ruimin Sun
Long Lu
Alan Mislove
36
78
0
18 Feb 2020
An Off-Chip Attack on Hardware Enclaves via the Memory Bus
An Off-Chip Attack on Hardware Enclaves via the Memory Bus
Dayeol Lee
D. Jung
Ian T. Fang
Chia-Che Tsai
Raluca A. Popa
19
90
0
03 Dec 2019
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
1