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Statements

Subject Item
dbr:Exponential_mechanism_(differential_privacy)
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rdfs:label
Exponential mechanism
rdfs:comment
The exponential mechanism is a technique for designing differentially private algorithms. It was developed by Frank McSherry and Kunal Talwar in 2007. Their work was recognized as a co-winner of the 2009 PET Award for Outstanding Research in Privacy Enhancing Technologies.
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dbr:Measure_(mathematics) dbr:Uniform_convergence_(combinatorics) dbr:Frank_McSherry dbr:Differential_privacy dbr:VC_dimension dbr:Auction_theory dbc:Theory_of_cryptography dbr:Statistical_classification dbc:Differential_privacy dbc:Applied_probability dbr:Combinatorics dbc:Information_privacy dbr:Half-space_(geometry) dbr:Katrina_Ligett
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August 2019
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dbo:abstract
The exponential mechanism is a technique for designing differentially private algorithms. It was developed by Frank McSherry and Kunal Talwar in 2007. Their work was recognized as a co-winner of the 2009 PET Award for Outstanding Research in Privacy Enhancing Technologies. Most of the initial research in the field of differential privacy revolved around real-valued functions which have relatively low sensitivity to change in the data of a single individual and whose usefulness is not hampered by small additive perturbations. A natural question is what happens in the situation when one wants to preserve more general sets of properties. The exponential mechanism helps to extend the notion of differential privacy to address these issues. Moreover, it describes a class of mechanisms that includes all possible differentially private mechanisms.
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wikipedia-en:Exponential_mechanism
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