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Privacy-Preserving Deep Learning|Kwangjo Kim

Privacy-Preserving Deep Learning : A Comprehensive Survey

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Overview

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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Details

  • ISBN-13: 9789811637636
  • ISBN-10: 9811637636
  • Publisher: Springer
  • Publish Date: July 2021
  • Dimensions: 9.21 x 6.14 x 0.19 inches
  • Shipping Weight: 0.3 pounds
  • Page Count: 74

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