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Special issue on the theory and practice of differential privacy

Gaboardi, Marco and Skinner, Chris J. (2017) Special issue on the theory and practice of differential privacy. Journal of Privacy and Confidentiality, 7 (2).

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This special issue presents papers based on contributions to the first international workshop on the “Theory and Practice of Differential Privacy” (TPDP) held in London, UK, 18 April 2015, as part of the European joint conference on Theory And Practice of Software (ETAPS). Differential privacy is a mathematically rigorous definition of the privacy protection provided by a data release mechanism: it offers a strong guaranteed bound on what can be learned about a user as a result of participating in a differentially private data analysis. Researchers in differential privacy come from several areas of computer science, including algorithms, programming languages, security, databases and machine learning, as well as from several areas of statistics and data analysis. The workshop was intended to be an occasion for researchers from these different research areas to discuss the recent developments in the theory and practice of differential privacy. The program of the workshop included 10 contributed talks, 1 invited speaker and 1 joint invited speaker with the workshop “Hot Issues in Security Principles and Trust” (HotSpot 2016). Participants at the workshop were invited to submit papers to this special issue. Six papers were accepted, most of which directly reflect talks presented at the workshop.

Item Type: Article
Official URL:
Additional Information: © 2016 The Authors © 2017 Research Showcase @ CMU
Divisions: Statistics
Subjects: H Social Sciences > HA Statistics
Date Deposited: 06 Feb 2017 17:06
Last Modified: 09 Nov 2021 00:13

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