Challenges of Privacy-Preserving Machine Learning in IoT-Reference-Cited by-同舟云学术

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Challenges of Privacy-Preserving Machine Learning in IoT

Published:2019-11-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the First International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things
language:
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Author:

Zheng Mengyao¹,Xu Dixing¹,Jiang Linshan²,Gu Chaojie²,Tan Rui²,Cheng Peng³

Affiliation:

1. Nanyang Technological University and Xi'an Jiaotong-Liverpool University and visiting Nanyang Technological University

2. Nanyang Technological University

3. Zhejiang University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3363347.3363357

Reference49 articles.

1. Deep Learning with Differential Privacy

2. Differentially Private Mixture of Generative Neural Networks

3. A privacy-preserving protocol for neural-network-based computation

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1. Recent endeavors in machine learning-powered intrusion detection systems for the Internet of Things;Journal of Network and Computer Applications;2024-09

2. A comprehensive survey and taxonomy on privacy-preserving deep learning;Neurocomputing;2024-04

3. Ethics and responsible AI deployment;Frontiers in Artificial Intelligence;2024-03-27

4. CUSCO: An Unobtrusive Custom Secure Audio-Visual Recording System for Ambient Assisted Living;Sensors;2024-02-26

5. A Probabilistic and Distributed Validation Framework Based on Blockchain for Artificial Intelligence of Things;IEEE Internet of Things Journal;2024-01-01

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