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There is a significant conceptual gap between legal and mathematical thinking around data privacy.
Generalizing data to provide anonymity when disclosing information (abstract)
Pierangela Samarati and Latanya Sweeney · 1998
Earlier work this paper cites.
k-anonymity: A model for protecting privacy
Latanya Sweeney · 2002
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Preserving privacy by de-identifying face images
Elaine M Newton, Latanya Sweeney, and Bradley Malin · 2005
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Our data, ourselves: Privacy via distributed noise generation
Cynthia Dwork, Krishnaram Kenthapadi, Frank McSherry, Ilya Mironov, and Moni Naor · 2006
Earlier work this paper cites.
Calibrating noise to sensitivity in private data analysis
Cynthia Dwork, Frank McSherry, Kobbi Nissim, and Adam Smith · 2006
Earlier work this paper cites.
Article 29 Data Protection Working Party Opinion 04/2007 on the Concept of Personal Data
2007
Earlier work this paper cites.
t-closeness: Privacy beyond k-anonymity and l-diversity
Ninghui Li, Tiancheng Li, and Suresh Venkatasubramanian · 2007
Earlier work this paper cites.
L -diversity: Privacy beyond k -anonymity
Ashwin Machanavajjhala, Daniel Kifer, Johannes Gehrke, and Muthuramakrishnan Venkitasubramaniam · 2007
Earlier work this paper cites.
Mechanism design via differential privacy
Frank McSherry and Kunal Talwar · 2007
Cited alongside, same era.
Fuzzy extractors: How to generate strong keys from biometrics and other noisy data
Yevgeniy Dodis, Rafail Ostrovsky, Leonid Reyzin, and Adam Smith · 2008
Cited alongside, same era.
Robust de-anonymization of large sparse datasets
Arvind Narayanan and Vitaly Shmatikov · 2008
Cited alongside, same era.
Privacy integrated queries: an extensible platform for privacy-preserving data analysis
Frank D McSherry · 2009
Cited alongside, same era.
On the foundations of quantitative information flow
Geoffrey Smith · 2009
Cited alongside, same era.
Broken promises of privacy: Responding to the surprising failure of anonymization
Paul Ohm · 2010
Cited alongside, same era.
On the generalization properties of differential privacy
Kobbi Nissim and Uri Stemmer · 2015
Later among the works it cites.
Algorithmic stability for adaptive data analysis
Raef Bassily, Kobbi Nissim, Adam D. Smith, Thomas Steinke, Uri Stemmer, and Jonathan Ullman · 2016
Later among the works it cites.
Extended diffix, 2018
Paul Francis, Sebastian Probst-Eide, Pawel Obrok, Cristian Berneanu, Sasa Juric, and Reinhard Munz · 2018
Later among the works it cites.
Bridging the gap between computer science and legal approaches to privacy
Kobbi Nissim, Aaron Bembenek, Alexandra Wood, Mark Bun, Marco Gaboardi, Urs Gasser, David R. O’Brien, Thomas Steinke, and Salil Vadhan · 2018
Later among the works it cites.
The limits of post-selection generalization
Kobbi Nissim, Adam D. Smith, Thomas Steinke, Uri Stemmer, and Jonathan Ullman · 2018
Later among the works it cites.
Is privacy privacy?
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Article 29 Data Protection Working Party Opinion 05/2014 on Anonymisation Techniques
2014
Cited alongside, same era.
Preserving statistical validity in adaptive data analysis
Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Aaron Leon Roth · 2015
Cited alongside, same era.
Kobbi Nissim and Alexandra Wood · 2018
Later among the works it cites.
Towards formalizing the gdpr’s notion of singling out
Aloni Cohen and Kobbi Nissim · 2020
Closest in time.