Jul 7, 2021 · Privacy-preserving computation realizes joint computation among multiple mutually distrustful participants while preserving the privacy of the computation, which has a wide range …

Jan 12, 2021 · Privacy-enhancing computation enables data monetization and privacy protection scenarios that were not possible with previous approaches. IT leaders need to understand …

Mar 17, 2021 · New privacy-preserving computing approaches are needed to meet legal requirements and provide privacy for data sharing. Consider an example from the healthcare …

We interviewed researchers, developers, industry leaders, policymakers, and designers involved in their deployment to explore motivations, expectations, perceived opportunities and barriers …

To accomplish this goal, we conducted a systematic literature review on privacy enhancement in data markets for the IoT, covering 50 publications dated up to July 2020, and provided …

Oct 6, 2021 · So, let’s discuss in detail this top strategic technological trend chosen by Gartner — privacy-enhancing computation and find answers to why it should be included in your priority …

Dec 28, 2020 · We would like to detail discuss one of these Gartner trends – privacy-enhancing computation and why it is necessary to consider and implement these technologies into …

In this work, we review the evolution of the adaptation of privacy-preserving computation techniques onto DL, to understand the gap between research proposals and practical …

rise to the need for protecting data during computation. We restrict our scope in this handbook to technologies that protect the privacy of data during and after computation, because...

Xiangning Wang received the B.Sc. degree from Peking University in 2016 and the Ph.D. degree in Computer Science from the University of Hong Kong in 2021. He is a Research Fellow at …