Titlebook: Computer Aided Verification; 31st International C Isil Dillig,Serdar Tasiran Conference proceedings‘‘‘‘‘‘‘‘ 2019 The Editor(s) (if applicab

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Automated Synthesis of Secure Platform Mappingsisions, however, may introduce undesirable behavior into the resulting implementation, possibly leading to a violation of a desired property that has already been established at the design level. In this paper, we introduce the problem of .: synthesize a set of implementation decisions ensuring that

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Quantified Invariants via Syntax-Guided Synthesispoints. Such properties are formally specified by universally quantified formulas, which are difficult to find, and difficult to prove inductive. In this paper, we propose an algorithm based on an enumerative search that discovers quantified invariants in stages. First, by exploiting the program syn

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Efficient Synthesis with Probabilistic Constraintsigm of . (.), which iteratively calls a synthesizer on finite sample sets from a given distribution. We make theoretical and algorithmic contributions: (.)?We prove the surprising result that . only requires a polynomial number of synthesizer calls in the size of the sample set, despite its ostensib

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Membership-Based Synthesis of Linear Hybrid Automatawithout a template and generate an automaton with nondeterministic guards and invariants, and with an arbitrary number and topology of modes. They thus construct a succinct model from the data and provide formal guarantees. In particular, (1)?the generated automaton can reproduce the data up?to a sp

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https://doi.org/10.1007/978-3-658-32441-4technique for generating a mapping based on symbolic constraint search. We describe our prototype implementation, and two real-world case studies demonstrating the applicability of our technique to the synthesis of secure mappings for the popular web authorization protocols OAuth 1.0 and 2.0.

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