Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
High Performance Privacy Preserving AI

High Performance Privacy Preserving AI

Shenoy, Jayavanth
Grinaway, Patrick
Palakodety, Shriphani

Hardcover

General ComputersComputer Security

ISBN10: 1638283443
ISBN13: 9781638283447
Publisher: Now Publishers
Published: Apr 9 2024
Pages: 96
Weight: 0.69
Height: 0.25 Width: 6.14 Depth: 9.21
Language: English
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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