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Disclosure avoidance (DA) systems are used to safeguard the confidentiality of data while allowing it to be analyzed and disseminated for analytic purposes.
Data-swapping: A technique for disclosure control
Tore Dalenius and Steven P Reiss · 1982
Earlier work this paper cites.
Cell suppression: Disclosure protection for sensitive tabular data
James P Kelly, Bruce L Golden, and Arjang A Assad · 1992
Earlier work this paper cites.
Mean value inequalities
FH Clarke and Yu S Ledyaev · 1994
Earlier work this paper cites.
k-anonymity: A model for protecting privacy
Latanya Sweeney · 2002
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.
Mondrian multidimensional k-anonymity
K. LeFevre, D.J. DeWitt, and R. Ramakrishnan · 2006
Earlier work this paper cites.
Provably private data anonymization: Or, k-anonymity meets differential privacy
Ninghui Li, Wahbeh H Qardaji, and Dong Su · 2011
Cited alongside, same era.
The algorithmic foundations of differential privacy
Cynthia Dwork, Aaron Roth, et al · 2014
Cited alongside, same era.
Understanding database reconstruction attacks on public data
Simson Garfinkel, John M Abowd, and Christian Martindale · 2019
Cited alongside, same era.
Fair decision making using privacy-protected data
Satya Kuppam, Ryan McKenna, David Pujol, Michael Hay, Ashwin Machanavajjhala, and Gerome Miklau · 2019
Cited alongside, same era.
The discrete gaussian for differential privacy
Clément L Canonne, Gautam Kamath, and Thomas Steinke · 2020
Cited alongside, same era.
Microdata output guide
Tatauranga Aotearoa · 2020
Later among the works it cites.
Sdnist v1.4 beta: Synthetic data report tool. national institute of standards and technology, 2021
NIST · 2021
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Decision making with differential privacy under the fairness lens
Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck, and Zhiyan Yao · 2021
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Differential privacy and fairness in decisions and learning tasks: A survey
Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck, and Keyu Zhu · 2022
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Post-processing of differentially private data: A fairness perspective
Keyu Zhu, Ferdinando Fioretto, and Pascal Van Hentenryck · 2022
Later among the works it cites.
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