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High Performance Privacy Preserving AI

- Shenoy, J: High Performance Privacy Preserving AI

Bog
  • Format
  • Bog, hardback
  • Engelsk
  • 94 sider

Beskrivelse

Artificial intelligence (AI) depends on data. In sensitive domains - such as healthcare, security, finance, and many more - there is therefore tension between unleashing the power of AI and maintaining the confidentiality and security of the relevant data. This book - intended for researchers in academia and R&D engineers in industry - explains how advances in three areas--AI, privacy-preserving techniques, and acceleration--allow us to achieve the dream of high performance privacy-preserving AI. It also discusses applications enabled by this emerging interplay. The book covers techniques, specifically secure multi-party computation and homomorphic encryption, that provide complexity theoretic security guarantees even with a single data point. These techniques have traditionally been too slow for real-world usage, and the challenge is heightened with the large sizes of today's state-of-the-art neural networks, including large language models (LLMs). This book does not cover techniques like differential privacy that only concern statistical anonymization of data points.

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Detaljer
  • SprogEngelsk
  • Sidetal94
  • Udgivelsesdato23-10-2013
  • ISBN139781638283447
  • Forlag Now Publishers Inc
  • Nummer i serien429
  • FormatHardback
  • Udgave0
Størrelse og vægt
  • Vægt319 g
  • Dybde1 cm
  • coffee cup img
    10 cm
    book img
    16,1 cm
    24 cm

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