ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2209.13643
  4. Cited By
MPC-Pipe: an Efficient Pipeline Scheme for Secure Multi-party Machine
  Learning Inference

MPC-Pipe: an Efficient Pipeline Scheme for Secure Multi-party Machine Learning Inference

27 September 2022
Yongqin Wang
Rachit Rajat
Murali Annavaram
ArXivPDFHTML

Papers citing "MPC-Pipe: an Efficient Pipeline Scheme for Secure Multi-party Machine Learning Inference"

4 / 4 papers shown
Title
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
19
2
0
08 Nov 2023
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
CrypTFlow: Secure TensorFlow Inference
CrypTFlow: Secure TensorFlow Inference
Nishant Kumar
Mayank Rathee
Nishanth Chandran
Divya Gupta
Aseem Rastogi
Rahul Sharma
99
235
0
16 Sep 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