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Privacy-Preserving Machine Learning

Release on by Jin Li
Privacy-Preserving Machine Learning

Author: Jin Li

Publisher: Springer Nature

ISBN: 9789811691393

Category:

Page:

View: 912

Privacy-Preserving Machine Learning
Language: en
Pages:

Privacy-Preserving Machine Learning

Authors: Jin Li
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

Books about Privacy-Preserving Machine Learning
Privacy-Preserving Machine Learning for Speech Processing
Language: en
Pages: 142

Privacy-Preserving Machine Learning for Speech Processing

Authors: Manas A. Pathak
Categories: Computers
Type: BOOK - Published: 2012-10-25 - Publisher: Springer Science & Business Media

"Doctoral Thesis accepted by Carnegie Mellon University, USA"--Title page.
Privacy-Preserving Deep Learning
Language: en
Pages: 74

Privacy-Preserving Deep Learning

Authors: Kwangjo Kim, Harry Chandra Tanuwidjaja
Categories: Computers
Type: BOOK - Published: 2021-07-22 - Publisher: Springer Nature

This book discusses the state-of-the-art in privacy-preserving deep learning (PPDL), especially as a tool for machine learning as a service (MLaaS), which serves as an enabling technology by combining classical privacy-preserving and cryptographic protocols with deep learning. Google and Microsoft announced a major investment in PPDL in early 2019. This
Privacy-Preserving Deep Learning
Language: en
Pages: 74

Privacy-Preserving Deep Learning

Authors: Kwangjo Kim, Harry Chandra Tanuwidjaja
Categories: Computers
Type: BOOK - Published: 2021-07-23 - Publisher: Springer

This book discusses the state-of-the-art in privacy-preserving deep learning (PPDL), especially as a tool for machine learning as a service (MLaaS), which serves as an enabling technology by combining classical privacy-preserving and cryptographic protocols with deep learning. Google and Microsoft announced a major investment in PPDL in early 2019. This
Deep Learning for Security and Privacy Preservation in IoT
Language: en
Pages: 179

Deep Learning for Security and Privacy Preservation in IoT

Authors: Aaisha Makkar, Neeraj Kumar
Categories: Computers
Type: BOOK - Published: 2022-05-05 - Publisher: Springer Nature

This book addresses the issues with privacy and security in Internet of things (IoT) networks which are susceptible to cyber-attacks and proposes deep learning-based approaches using artificial neural networks models to achieve a safer and more secured IoT environment. Due to the inadequacy of existing solutions to cover the entire

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