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Data Science Journal, 2012 In this article, the authors suggest that one method for increasing awareness of the benefits of data sharing can be affected by administering a survey, hopefully encouraging either a minority or majority influence on other members of the behavioural ...
Anonymous Anonymous
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Episteme, 2013 AbstractThis paper addresses how the anonymity of an assertion affects the epistemological dimension of its production by speakers, and its reception by hearers. After arguing that anonymity does have implications in both respects, I go on to argue that at least some of these implications derive from a warranted diminishment in speakers' and hearers ...
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Konrad-Thaler-Gedächtnispreis der Arachnologischen Gesellschaft
Arachnologische Mitteilungen, 2007 memorial award, Konrad-Thaler ...
Anonymous, Anonymous
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, 2009 We introduce the notion of parameterised anonymity, to formalize the anonymity property of protocols with an arbitrary number of participants. This definition is an extension of the well known CSP anonymity formalization of Schneider and Sidiropoulos [18]. Using recently developed invariant techniques for solving parameterised boolean equation systems,
Groote, Jan Friso, Orzan, Simona
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Thought: A Journal of Philosophy, 2020 This paper provides an account of anonymous speech treated as anonymized speech. It is argued that anonymous speech acts are best defined by reference to intentional acts of blocking a speaker's identification as opposed to the various epistemic effects that imperfectly correlate with these actions.
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MultiRelational k-Anonymity [PDF]
2007 IEEE 23rd International Conference on Data Engineering, 2007 k-anonymity protects privacy by ensuring that data cannot be linked to a single individual. In a k-anonymous dataset, any identifying information occurs in at least k tuples. Much research has been done to modify a single table dataset to satisfy anonymity constraints.
Nergiz, M.E., Clifton, C., Nergiz, A.E.
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