Engineering Dependable and Secure Machine Learning Systems

Engineering Dependable and Secure Machine Learning Systems
Author :
Publisher : Springer Nature
Total Pages : 150
Release :
ISBN-10 : 9783030621445
ISBN-13 : 3030621448
Rating : 4/5 (45 Downloads)

Book Synopsis Engineering Dependable and Secure Machine Learning Systems by : Onn Shehory

Download or read book Engineering Dependable and Secure Machine Learning Systems written by Onn Shehory and published by Springer Nature. This book was released on 2020-11-07 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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