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DarKnight: A Data Privacy Scheme for Training and Inference of Deep
  Neural Networks

DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks

1 June 2020
H. Hashemi
Yongqin Wang
M. Annavaram
    FedML
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Papers citing "DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks"

4 / 4 papers shown
Title
Characterization of GPU TEE Overheads in Distributed Data Parallel ML Training
Characterization of GPU TEE Overheads in Distributed Data Parallel ML Training
Jonghytun Lee
Yongqin Wang
Rachit Rajat
M. Annavaram
58
0
0
20 Jan 2025
CompactTag: Minimizing Computation Overheads in Actively-Secure MPC for
  Deep Neural Networks
CompactTag: Minimizing Computation Overheads in Actively-Secure MPC for Deep Neural Networks
Yongqin Wang
Pratik Sarkar
Nishat Koti
A. Patra
Murali Annavaram
27
2
0
08 Nov 2023
Enabling Inference Privacy with Adaptive Noise Injection
Enabling Inference Privacy with Adaptive Noise Injection
Sanjay Kariyappa
Ousmane Amadou Dia
Moinuddin K. Qureshi
26
5
0
06 Apr 2021
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