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Full-Text Articles in Physical Sciences and Mathematics
Privacy In "The Cloud": Applying Nissenbaum's Theory Of Contextual Integrity, Frances Grodzinsky, Herman T. Tavani
Privacy In "The Cloud": Applying Nissenbaum's Theory Of Contextual Integrity, Frances Grodzinsky, Herman T. Tavani
School of Computer Science & Engineering Faculty Publications
The present essay is organized into five main sections. We begin with a few preliminary remarks about "cloud computing," which are developed more fully in a later section. This is followed by a brief overview of the evolution of Helen Nissenbaum's framework of "privacy as contextual integrity." In particular, we examine Nissenbaum's "Decision Heuristic" model, described in her most recent work on privacy (Nissenabum 2010), to see how it enables the contextual-integrity framework to respond to privacy challenges posed by new and emerging technologies. We then apply that heuristic device to questions surrounding one aspect of cloud computing -- viz., …
Iterative Learning From Texts And Counterexamples Using Additional Information, Sanjay Jain, Efim Kinber
Iterative Learning From Texts And Counterexamples Using Additional Information, Sanjay Jain, Efim Kinber
School of Computer Science & Engineering Faculty Publications
A variant of iterative learning in the limit (cf. Lange and Zeugmann 1996) is studied when a learner gets negative examples refuting conjectures containing data in excess of the target language and uses additional information of the following four types: (a) memorizing up to n input elements seen so far; (b) up to n feedback memberships queries (testing if an item is a member of the input seen so far); (c) the number of input elements seen so far; (d) the maximal element of the input seen so far. We explore how additional information available to such learners (defined and …