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Title of Paper:Manto: A Practical and Secure Inference Service of Convolutional Neural Networks for IoT

Journal:IEEE Internet of Things Journal

Abstract:As convolutional neural networks (CNNs) exhibit remarkable performance in various inference tasks, it is increasingly important to enable Internet of Things (IoT) devices to perform CNN-based applications. Many companies provide their carefully trained neural networks as inference services for resource-constrained clients (e.g., IoT devices). However, the use of CNN inference in many IoT applications raises privacy concerns. Cryptographic inference services provide a way to perform neural inference efficiently and, at the same time, preserve both the privacy of the client’s input data and the

All the Authors:Xi Ning

Document Code:10.1109/JIOT.2023.3251982

Page Number:Pages 14856-14872

Translation or Not:no