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Titlebook: Verified Software. Theories, Tools, and Experiments; 11th International C Supratik Chakraborty,Jorge A. Navas Conference proceedings 2020 S

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Uncertainty, Modeling and Safety Assurance: Towards a Unified Framework,, e.g., by arguing that the system satisfies its safety goals. But how can we rigorously reason about assurance in the presence of uncertainty? In this paper, we propose a vision for a framework for managing uncertainty in assurance cases for software systems, and in particular, for . software syste
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Quantifying Information Leakage Using Model Counting Constraint Solvers,lysis and attack synthesis. By combining model counting constraints solvers with symbolic execution it is possible to quantify the amount of information that a program leaks about a secret input. As discussed below, this type of analysis is crucial for detection and analysis of side channel vulnerab
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Verifiable Homomorphic Tallying for the Schulze Vote Counting Scheme, to verify that their encrypted ballot has been recorded as cast, by checking their ballot against a bulletin board..We present a verifiable homomorphic tallying scheme for the Schulze method that allows verification of the correctness of the count—on the basis of encrypted ballots—that only reveals
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DCSynth: Guided Reactive Synthesis with Soft Requirements,gic QDDC . We find that QDDC is well suited for guided synthesis due to its superiority in dealing with both qualitative and quantitative specifications. Our framework allows specification consisting of both . and . requirements as QDDC formulas. We have developed a method and a tool DCSynth, which
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