Verification, Model Checking, and Abstract Interpretation: 25th International Conference, VMCAI 2024,...

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Rayna Dimitrova Ori Lahav

Verification, Model Checking, and Abstract Interpretation

25th International Conference, VMCAI 2024, London, United Kingdom, January 15–16, 2024, Proceedings,...

Rayna Dimitrova, Ori Lahav, Sebastian Wolff

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English

Springer International Publishing AG
03 January 2024

Software Engineering; Mathematical theory of computation; Maths for computer scientists; Artificial intelligence; Expert & knowledge-based systems

Series: Lecture Notes in Computer Science

The two-volume set LNCS 14499 and 14500 constitutes the proceedings of the 25th International Conference on Verification, Model Checking, and Abstract Interpretation, VMCAI 2024, which took place in London, Ontario, Canada, in January 2024. The 30 full papers presented in the proceedings were carefully reviewed and selected from 74 submissions. They were organized in topical sections as follows:

Part I: Abstract interpretation; infinite-state systems; model checking and synthesis; SAT, SMT, and automated reasoning; Part II: Concurrency; neural networks; probabilistic and quantum programs; program and system verification; runtime verification; security and privacy;

Edited by: Rayna Dimitrova, Ori Lahav, Sebastian Wolff
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 1st ed. 2024
Volume: 14500
Dimensions: Height: 235mm, Width: 155mm,
Weight: 551g
ISBN: 9783031505201
ISBN 10: 3031505204
Series: Lecture Notes in Computer Science
Pages: 340
Publication Date: 03 January 2024
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Concurrency.- Petrification: Software Model Checking for Programs with Dynamic Thread Management.- A Fully Verified Persistency Library.- A Navigation Logic for Recursive Programs with Dynamic Thread Creation.- Neural Networks.- Taming Reachability Analysis of DNN-Controlled Systems via Abstraction-Based Training.- Verification of Neural Networks' Local Differential Classification Privacy.- AGNES: Abstraction-guided Framework for Deep Neural Network Security.- Probabilistic and Quantum Programs Guaranteed inference for probabilistic programs: a parallelisable, small-step operational approach.- Local Reasoning about Probabilistic Behaviour for Classical-Quantum Programs.- Program and System Verification.- Deductive Verification of Parameterized Embedded Systems modeled in SystemC.- Automatically Enforcing Rust Trait Properties.- Borrowable Fractional Ownership Types for Verification.- Runtime Verification.- TP-DejaVu: Combining Operational and Declarative Runtime Verification.- Synthesizing Efficiently Monitorable Formulas in Metric Temporal Logic.- Security and Privacy.- Automatic and Incremental Repair for Speculative Information Leaks.- Sound Abstract Nonexploitability Analysis.