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Towards Industrial Private AI: A two-tier framework for data and model
  security
v1v2 (latest)

Towards Industrial Private AI: A two-tier framework for data and model security

27 July 2021
Sunder Ali Khowaja
Kapal Dev
N. Qureshi
P. Khuwaja
L. Foschini
    FedML
ArXiv (abs)PDFHTML

Papers citing "Towards Industrial Private AI: A two-tier framework for data and model security"

4 / 4 papers shown
Title
CrypTen: Secure Multi-Party Computation Meets Machine Learning
CrypTen: Secure Multi-Party Computation Meets Machine Learning
Brian Knott
Shobha Venkataraman
Awni Y. Hannun
Shubho Sengupta
Mark Ibrahim
Laurens van der Maaten
83
361
0
02 Sep 2021
Privacy-Preserving XGBoost Inference
Privacy-Preserving XGBoost Inference
Xianrui Meng
J. Feigenbaum
36
14
0
09 Nov 2020
A Scalable Approach for Privacy-Preserving Collaborative Machine
  Learning
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning
Jinhyun So
Başak Güler
A. Avestimehr
FedML
59
53
0
03 Nov 2020
Deep Leakage from Gradients
Deep Leakage from Gradients
Ligeng Zhu
Zhijian Liu
Song Han
FedML
97
2,219
0
21 Jun 2019
1