In this book, we review the latest developments in adversarial attack technologies in computer vision; natural language processing; and cybersecurity with regard to multidimensional, textual and image data, sequence data, and temporal data.

... Explainable AI: interpreting, explaining and visualizing deep learning, vol 11700. Springer Nature 64. Cozzolino D, Rössler A, Thies J, Nießner M, Verdoliva L (2021) ID-reveal: identity-aware DeepFake ... approach. IEEE Access 8:106373–106385 ...

For researchers, this book provides a thorough literature review that summarizes latest progress in the area, which can be a good reference for conducting future research.

Providing an introduction to the key technologies, detailed technical explanations of the methodology, and an illustration of the practical relevance of the approach with a wide range of applications, this book addresses the challenges of ...

The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.

Artificial intelligence, or AI, has become a ubiquitous part of our lives. Hardly a day goes by without hearing or reading about AI and the impacts it is having on society.

This book is about making machine learning models and their decisions interpretable.

This book summarizes the organized competitions held during the first NIPS competition track.

This book provides a ‘one-stop source’ for all readers who are interested in a new, empirical approach to machine learning that, unlike traditional methods, successfully addresses the demands of today’s data-driven world.

The first book of its kind dedicated to the challenge of person re-identification, this text provides an in-depth, multidisciplinary discussion of recent developments and state-of-the-art methods.