Software Verification and Formal Methods for ML-Enabled Autonomous Systems

Language: English

Published by Springer, Springer Dez 2022, 2022

3031212215 / 9783031212215

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This item is printed on demand - Print on Demand Titel. Neuware -FoMLAS 2022.- VPN: Verification of Poisoning in Neural Networks.- A Cascade of Checkers for Run-time Certification of Local Robustness.- CEG4N: Counter-Example Guided Neural Network Quantization Refinement .- Minimal Multi-Layer Modifications of Deep Neural Networks.- Differentiable Logics for Neural Network Training and Verification.- Neural Networks in Imandra: Matrix Representation as a Verification Choice.- Self-Correcting Neural Networks For Safe Classification.- Self-Correcting Neural Networks For Safe Classification.- NSV 2022.- Verified Numerical Methods for Ordinary Differential Equations.- Neural Network Precision Tuning Using Stochastic Arithmetic.- MLTL Multi-type (MLTLM): A Logic for Reasoning about Signals of Different Types.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 216 pp. Englisch.

Seller Inventory # 9783031212215

Title
Software Verification and Formal Methods for ML-Enabled Autonomous Systems
Author
Omri Isac
Publisher
Springer, Springer Dez 2022
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3031212215
ISBN 13
9783031212215
Item weight
335 grams
Dimensions
235x155x12 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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