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Privacy by design in statistics: Should it become a default/standard?
Statistical Journal of the IAOS, 2019Privacy by design (PbD) as an approach to systems engineering has been conceptualized for more than a decade. It has inspired the legal norm of managing personal data in EU and incorporated into the GDPR. In practice PbD is far from being the standard in
Baldur Kubo +3 more
semanticscholar +1 more source
Session details: Theme: System software and security: PDP - Privacy by design in practice track
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019The aim of the privacy by design in practice track is to promote research on privacy-preserving technologies to be used in practice. "Privacy by Design" (PbD) is a requirement in the general data protection regulation (GDPR).
Ronald Petrlic, Christoph Sorge
semanticscholar +1 more source
A Comprehensive Survey of Privacy-preserving Federated Learning
ACM Computing Surveys, 2022Xuefei Yin, Yanming Zhu, Jiankun Hu
exaly
A Survey on Metaverse: Fundamentals, Security, and Privacy
IEEE Communications Surveys and Tutorials, 2023Yuntao Wang, Zhou, Ning Zhang
exaly
When Machine Learning Meets Privacy in 6G: A Survey
IEEE Communications Surveys and Tutorials, 2020Yuanyuan Sun, Jiajia Liu, Jiadai Wang
exaly
A Survey on Differential Privacy for Unstructured Data Content
ACM Computing Surveys, 2022Jinjun Chen
exaly
Cyber Security and Privacy Issues in Smart Grids
IEEE Communications Surveys and Tutorials, 2012Yang Xiao, Tieshan Li, Wei Liang
exaly