Isbn: 9781638283447 - high performance privacy preserving ai (nowopen) (7 Ergebnisse)

hardcover. Zustand: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Zustand: New.

Zustand: New. In English.

Zustand: New. 2024. hardcover. . . . . . Books ship from the US and Ireland.

Hardcover. Zustand: Brand New. 96 pages. 6.14x0.25x9.21 inches. In Stock.

Zustand: New. &Uumlber den AutorJayavanth Shenoy develops and integrates sophisticated software solutions for highly advanced, performant, distributed network systems, focusing on acceleration of cryptographic and artificial intelligence applications.

Buch. Zustand: Neu. Neuware - 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. …