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Privacy-Preserving Deep Learning A Comprehensive Survey

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 a...

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Bibliographic Details
Main Authors: Kim, Kwangjo, Tanuwidjaja, Harry Chandra (Author)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2021, 2021
Edition:1st ed. 2021
Series:SpringerBriefs on Cyber Security Systems and Networks
Subjects:
Machine Learning
Artificial Intelligence
Privacy
Cloud Computing
Data Protection
Data Protection / Law And Legislation
Data And Information Security
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Introduction
  • Definition and Classification
  • Background Knowledge
  • X-based Hybrid PPDL
  • The Gap Between Theory and Application of X-based PPDL
  • Federated Learning and Split Learning-based PPDL
  • Analysis and Performance Comparison
  • Attacks on DL and PPDL as the Possible Solutions
  • Challenges and Future Work

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