Generative policy framework for AI training data curation
Valentina Salapura, David Wood, et al.
SMARTCOMP 2019
The distributed nature of the environment in which privacy and security policies operate requires tools that help enforce consistency of policy rules across different domains. Furthermore, because changes to policy rules are required as policies evolve over time, such tools can be used by policy administrators to ensure the consistency of policy changes. In this paper, we describe a number of different policy analysis tools and techniques that we have developed over the years and present them in a unified framework in which both privacy and security policies are discussed. We cover dominance analyses of general policies, conflicts among authorizations and prohibitions, and other analyses of obligations, as well as policy similarity analysis and policy distribution. © Copyright 2009 by International Business Machines Corporation.
Valentina Salapura, David Wood, et al.
SMARTCOMP 2019
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INTERSPEECH - Eurospeech 2001
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IEEE Communications Magazine
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ACM Transactions on Information Systems (TOIS)