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Titlebook: Computer Aided Verification; 32nd International C Shuvendu K. Lahiri,Chao Wang Conference proceedings‘‘‘‘‘‘‘‘ 2020 The Editor(s) (if applic

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Verification of Quantitative Hyperproperties Using Trace Enumeration Relationsed verification of quantitative hyperproperties on infinite-state systems. We use our methodology to prove confidentiality of access patterns in Path ORAMs of unbounded size, soundness of a simple interactive zero-knowledge proof protocol as well as other applications of quantitative hyperproperties
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: Solver-Aided Recency-Aware Replicationanalysis that infers optimum staleness bounds. Further, it defines coordination-avoidance conditions and the operational semantics of replicated systems that provably guarantees the three properties. It characterizes the computational power and presents a protocol for recency-aware objects. . uses a
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Systemanalyse erfolgreich organisieren, systems (NNCS) that instead have nonlinear plant models, NNV supports over-approximate analysis by combining the star set analysis used for FFNN controllers with zonotope-based analysis for nonlinear plant dynamics building on CORA. We evaluate NNV using two real-world case studies: the first is sa
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Systemanalyse menschlichen Handelnsled the ImageStar, which enables efficient exact and over-approximative analysis of CNNs. ImageStars perform efficient set-based analysis by combining operations on concrete images with linear programming (LP). Our approach is implemented in a tool called NNV, and can verify the robustness of VGG ne
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,Der wissenschaftliche Erkenntnisprozeß,fy distinct failure cases, and confirm their root causes with specialized testing. Finally, we use the results of falsification and debugging to retrain the network, eliminating several failure cases and improving the overall performance of the closed-loop system.
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