Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	April 2024
Genre:	EDV / Informatik
ISBN:	9781638283447
EAN-Code:	9781638283447
Verlag:	Now Publishers Inc
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 240 mm / B 161 mm / D 10 mm
Gewicht:	319 gr
Seiten:	96
Zus. Info:	HC gerader Rücken kaschiert
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.