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Titlebook: NASA Formal Methods; 9th International Sy Clark Barrett,Misty Davies,Temesghen Kahsai Conference proceedings 2017 Springer International Pu

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發(fā)表于 2025-3-25 05:29:34 | 只看該作者
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發(fā)表于 2025-3-25 09:40:11 | 只看該作者
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發(fā)表于 2025-3-25 18:04:00 | 只看該作者
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發(fā)表于 2025-3-25 20:10:05 | 只看該作者
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發(fā)表于 2025-3-26 00:13:23 | 只看該作者
Analysing Security Protocols Using Refinement in iUML-B,ification. We use class diagrams to specify conceptual system entities and their relationships. We use state-machines to model the protocol execution involving the entities’ interactions. Features of our approach include specifying security principles as invariants of some abstract model of the over
27#
發(fā)表于 2025-3-26 06:23:44 | 只看該作者
On Learning Sparse Boolean Formulae for Explaining AI Decisions,sz as either positive or negative. This problem has received attention in both machine learning as well as formal methods communities, and it has been shown to have exponential worst-case complexity in the general case as well as for many restrictions. In this paper, we focus on learning . Boolean f
28#
發(fā)表于 2025-3-26 10:52:13 | 只看該作者
29#
發(fā)表于 2025-3-26 13:31:14 | 只看該作者
Model-Counting Approaches for Nonlinear Numerical Constraints, accomplishes its task without errors, and measuring the number of bits leaked by a system to an adversary in Shannon entropy. Most previous work in those areas demonstrated their analysis on programs with linear constraints, in which cases model counting is polynomial time. Model counting for nonli
30#
發(fā)表于 2025-3-26 18:08:16 | 只看該作者
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