Privacy-Preserving Computing - For Big Data Analytics and Ai

"Privacy-preserving computing aims to protect the personal information of users while capitalizing on the possibilities offered by big data. This practical introduction for students, researchers, and industry practitioners presents a systematic tour of recent advances in privacy-preserving methods for real-world problems in analytics and AI"--

Inhaltsverzeichnis

1. Introduction to privacy-preserving computing; 2. Secret sharing; 3. Homomorphic encryption; 4. Oblivious transfer; 5. Garbled circuit; 6. Differential privacy; 7. Trusted execution environment; 8. Federated learning; 9. Privacy-preserving computing platforms; 10. Case studies of privacy-preserving computing; 11. Future of privacy-preserving computing; References; Index.

Über den Autor / die Autorin

Kai Chen is Professor at the Department of Computer Science and Engineering of the Hong Kong University of Science and Technology, where he leads the Intelligent Networking and Systems (iSING) Lab and the WeChat-HKUST Joint Lab on Artificial Intelligence Technology. His research interests include data center networking, high-performance networking, machine learning systems, and hardware acceleration.Qiang Yang is Chief Ai Officer at Webank and Professor Emeritus at the Department of Computer Science and Engineering of the Hong Kong University of Science and Technology. He is an AAAI, ACM, and IEEE Fellow and Fellow of the Canadian Royal Society. He has authored books such as 'Intelligent Planning,' 'Crafting Your Research Future,' 'Transfer Learning,' and 'Federated Learning.' His research interests include artificial intelligence, machine learning and data mining, automated planning, transfer learning, and federated learning.

Produktdetails

• Autoren: Kai Chen, Kai (Hong Kong University of Science and Tec Chen, Chen Kai, Qiang Yang, Yang Qiang
• Verlag: Cambridge University Press ELT
• Sprache: Englisch
• Produktform: Fester Einband
• Erschienen: 16.11.2023
• EAN: 9781009299510
• ISBN: 978-1-0-0929951-0
• Seiten: 271
• Themen: Geisteswissenschaften, Kunst, Musik > Pädagogik > Sozialpädagogik, Soziale Arbeit; Artificial Intelligence, Digital lifestyle, Social issues & processes, Privacy & data protection, Privacy and data protection, Ethical & social aspects of IT, Health & safety aspects of IT, Legal aspects of IT, Privacy law, Personal safety, Online safety and behaviour, Control, privacy and safety in society, Digital and information technologies: Legal aspects, Data capture and analysis, Data Capture & Analysis