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CSFW
2005
IEEE
16 years 14 days ago
Belief in Information Flow
To reason about information flow based on beliefs, a new model is developed that describes how attacker beliefs change due to the attacker’s observation of the execution of a p...
Michael R. Clarkson, Andrew C. Myers, Fred B. Schn...
AUSAI
2005
Springer
16 years 12 days ago
Conditioning Graphs: Practical Structures for Inference in Bayesian Networks
Abstract. Programmers employing inference in Bayesian networks typically rely on the inclusion of the model as well as an inference engine into their application. Sophisticated inf...
Kevin Grant, Michael C. Horsch
ARCS
2006
Springer
15 years 10 months ago
Safety, Liveness, and Information Flow: Dependability Revisited
Abstract: We present a formal framework to talk and reason about dependable systems. The framework is based on three distinct classes of (system specification) properties we call s...
Zinaida Benenson, Felix C. Freiling, Thorsten Holz...
NIPS
1997
15 years 8 months ago
Graph Matching with Hierarchical Discrete Relaxation
Our aim in this paper is to develop a Bayesian framework for matching hierarchical relational models. Such models are widespread in computer vision. The framework that we adopt fo...
Richard C. Wilson, Edwin R. Hancock
AAAI
1994
15 years 8 months ago
Activity Analysis: The Qualitative Analysis of Stationary Points for Optimal Reasoning
We present a theory of a modeler's problem decomposition skills in the context of optimal reasonzng -- the use of qualitative modeling to strategically guide numerical explor...
Brian C. Williams, Jonathan Cagan