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Confidential Inference via Ternary Model Partitioning

Confidential Inference via Ternary Model Partitioning

3 July 2018
Zhongshu Gu
Heqing Huang
Jialong Zhang
D. Su
Hani Jamjoom
Ankita Lamba
Dimitrios E. Pendarakis
Ian Molloy
ArXivPDFHTML

Papers citing "Confidential Inference via Ternary Model Partitioning"

6 / 6 papers shown
Title
State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey
State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey
Chaoyu Zhang
Shaoyu Li
AILaw
50
3
0
25 Feb 2024
Seculator: A Fast and Secure Neural Processing Unit
Seculator: A Fast and Secure Neural Processing Unit
Nivedita Shrivastava
S. Sarangi
AAML
23
3
0
19 Apr 2022
ASFGNN: Automated Separated-Federated Graph Neural Network
ASFGNN: Automated Separated-Federated Graph Neural Network
Longfei Zheng
Jun Zhou
Chaochao Chen
Bingzhe Wu
L. xilinx Wang
Benyu Zhang
FedML
GNN
23
71
0
06 Nov 2020
A First Look at Deep Learning Apps on Smartphones
A First Look at Deep Learning Apps on Smartphones
Mengwei Xu
Jiawei Liu
Yuanqiang Liu
F. Lin
Yunxin Liu
Xuanzhe Liu
HAI
27
177
0
08 Nov 2018
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service
L. Hanzlik
Yang Zhang
Kathrin Grosse
A. Salem
Maximilian Augustin
Michael Backes
Mario Fritz
OffRL
14
103
0
01 Aug 2018
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