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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

International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2022

27 September 2022

Murali Annavaram

ArXiv (abs)PDF HTML

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

4 / 4 papers shown

CrypTorch: PyTorch-based Auto-tuning Compiler for Machine Learning with Multi-party Computation

CrypTorch: PyTorch-based Auto-tuning Compiler for Machine Learning with Multi-party Computation

80

0

0

24 Nov 2025

Edge Private Graph Neural Networks with Singular Value Perturbation

Edge Private Graph Neural Networks with Singular Value Perturbation

Murali Annavaram

235

4

0

16 Mar 2024

Silent Guardian: Protecting Text from Malicious Exploitation by Large
Language Models

Silent Guardian: Protecting Text from Malicious Exploitation by Large Language ModelsIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023

258

14

0

15 Dec 2023

CompactTag: Minimizing Computation Overheads in Actively-Secure MPC for
Deep Neural Networks

CompactTag: Minimizing Computation Overheads in Actively-Secure MPC for Deep Neural Networks

Murali Annavaram

245

2

0

08 Nov 2023