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82
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ICALP
2010
Springer
15 years 5 months ago
Compositional Closure for Bayes Risk in Probabilistic Noninterference
We give a quantitative sequential model for noninterference security with probability (but not demonic choice), and a novel refinement order that we prove to be the greatest compo...
Annabelle McIver, Larissa Meinicke, Carroll Morgan
94
Voted
ICALP
2000
Springer
15 years 4 months ago
Temporal Rewards for Performance Evaluation
Today many formalisms exist for specifying complex Markov chains. In contrast, formalism for specifying the quantitative properties to analyze have remained quite primitive. In th...
Jeroen Voeten
92
Voted
LREC
2008
94views Education» more  LREC 2008»
15 years 2 months ago
A General Methodology for Mapping EuroWordNets to the Suggested Upper Merged Ontology
This paper presents a general methodology to mapping EuroWordNets (Vossen, 1998) to the Suggested Upper Merged Ontology (SUMO; (Niles and Pease, 2001)), and we show its applicatio...
Dennis Spohr
82
Voted
NIPS
2004
15 years 2 months ago
Methods for Estimating the Computational Power and Generalization Capability of Neural Microcircuits
What makes a neural microcircuit computationally powerful? Or more precisely, which measurable quantities could explain why one microcircuit C is better suited for a particular fa...
Wolfgang Maass, Robert A. Legenstein, Nils Bertsch...
CSFW
2012
IEEE
13 years 3 months ago
Measuring Information Leakage Using Generalized Gain Functions
Abstract—This paper introduces g-leakage, a rich generalization of the min-entropy model of quantitative information flow. In g-leakage, the benefit that an adversary derives f...
Mário S. Alvim, Konstantinos Chatzikokolaki...