Engineering Dependable and Secure Machine Learning Systems / Communications in Computer and Information Science Bd.1272 (PDF)
Third International Workshop, EDSMLS 2020, New York City, NY, USA, February 7, 2020, Revised Selected Papers
(Sprache: Englisch)
This book constitutes the revised selected papers of the Third International Workshop on Engineering Dependable and Secure Machine Learning Systems, EDSMLS 2020, held in New York City, NY, USA, in February 2020.
The 7 full papers and 3 short papers were...
The 7 full papers and 3 short papers were...
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Produktinformationen zu „Engineering Dependable and Secure Machine Learning Systems / Communications in Computer and Information Science Bd.1272 (PDF)“
This book constitutes the revised selected papers of the Third International Workshop on Engineering Dependable and Secure Machine Learning Systems, EDSMLS 2020, held in New York City, NY, USA, in February 2020.
The 7 full papers and 3 short papers were thoroughly reviewed and selected from 16 submissions. The volume presents original research on dependability and quality assurance of ML software systems, adversarial attacks on ML software systems, adversarial ML and software engineering, etc.
Bibliographische Angaben
- 2020, 1st ed. 2020, 141 Seiten, Englisch
- Herausgegeben: Onn Shehory, Eitan Farchi, Guy Barash
- Verlag: Springer International Publishing
- ISBN-10: 3030621448
- ISBN-13: 9783030621445
- Erscheinungsdatum: 07.11.2020
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 14 MB
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Englisch
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