Engineering Dependable and Secure Machine Learning Systems

Discover the cutting-edge insights in "Engineering Dependable and Secure Machine Learning Systems," authored by Onn Shehory and published by Springer Nature Switzerland AG in 2020. This engaging volume comprises revised selected papers from the Third International Workshop on Engineering Dependable and Secure Machine Learning Systems (EDSMLS 2020), which took place in New York City in February 2020. Spanning 141 pages, this first edition delves into the crucial aspects of creating reliable and secure machine learning systems, making it an essential read for researchers, practitioners, and students alike. Enhance your understanding of machine learning's intersection with dependability and security by exploring the innovative approaches and methodologies presented in this comprehensive work.