Low-Latency Privacy-Preserving Outsourcing of Deep Neural Network Inference-Reference-Cited by-同舟云学术

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Low-Latency Privacy-Preserving Outsourcing of Deep Neural Network Inference

Published:2021-03-01 Issue:5 Volume:8 Page:3300-3309
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Tian Yifan¹,Njilla Laurent²,Yuan Jiawei³^ORCID,Yu Shucheng⁴

Affiliation:

1. Agari Data Inc., Foster City, CA, USA

2. Cyber Assurance Branch, U.S. Air Force Research Laboratory, Rome, NY, USA

3. Department of CIS, University of Massachusetts Dartmouth, Dartmouth, MA, USA

4. Department of ECE, Stevens Institute of Technology, Hoboken, NJ, USA

Funder

Summer Faculty Visiting Program at AFRL

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9358034/09120239.pdf?arnumber=9120239

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ToNN: An Oblivious Neural Network Prediction Scheme With Semi-Honest TEE;IEEE Transactions on Information Forensics and Security;2024

2. Privacy-Preserving Naïve Bayesian Classification for Health Monitoring Systems;IEEE Transactions on Industrial Informatics;2024

3. Privacy-Preserving Parallel Computation of Matrix Determinant With Edge Computing;IEEE Transactions on Services Computing;2023-09

4. B-LNN: Inference-time linear model for secure neural network inference;Information Sciences;2023-08

5. Privacy-Preserving Distributed Machine Learning Made Faster;Proceedings of the 2023 Secure and Trustworthy Deep Learning Systems Workshop;2023-07-10

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