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Joint Linear and Nonlinear Computation across Functions for Efficient
  Privacy-Preserving Neural Network Inference

Joint Linear and Nonlinear Computation across Functions for Efficient Privacy-Preserving Neural Network Inference

4 September 2022
Qiao Zhang
Tao Xiang
Chunsheng Xin
Biwen Chen
Hongyi Wu
ArXivPDFHTML

Papers citing "Joint Linear and Nonlinear Computation across Functions for Efficient Privacy-Preserving Neural Network Inference"

3 / 3 papers shown
Title
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU
Sijun Tan
Brian Knott
Yuan Tian
David J. Wu
BDL
FedML
57
183
0
22 Apr 2021
Pushing the Limits of Semi-Supervised Learning for Automatic Speech
  Recognition
Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition
Yu Zhang
James Qin
Daniel S. Park
Wei Han
Chung-Cheng Chiu
Ruoming Pang
Quoc V. Le
Yonghui Wu
VLM
SSL
146
308
0
20 Oct 2020
CrypTFlow2: Practical 2-Party Secure Inference
CrypTFlow2: Practical 2-Party Secure Inference
Deevashwer Rathee
Mayank Rathee
Nishant Kumar
Nishanth Chandran
Divya Gupta
Aseem Rastogi
Rahul Sharma
81
301
0
13 Oct 2020
1