Introduction to privacy-preserving computing -- Secret sharing -- Homomorphic encryption -- Oblivious transfer -- Garbled circuit -- Differential privacy -- Trusted execution environment -- Federated learning -- Privacy-preserving computing platforms -- Case studies of privacy-preserving computing -- Future of privacy-preserving computing.
Summary:
"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"-- Provided by publisher.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.