Engineering Dependable and Secure Machine Learning Systems

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. 

Engineering Dependable and Secure Machine Learning Systems features in the following genres: Artificial intelligence, Computer hardware, Computer applications in the social and behavioural sciences, Educational equipment and technology, computer-aided learning (CAL)

Engineering Dependable and Secure Machine Learning Systems is available in Paperback

Engineering Dependable and Secure Machine Learning Systems was written by Onn Shehory and published by Springer Nature Switzerland AG

Engineering Dependable and Secure Machine Learning Systems has 141 pages

Yes it is part of Communications in Computer and Information Science series

£40.49