Abstract Surrogate-Assisted Evolutionary Optimisation algorithms are a specialized brand of
optimisers developed to undertake problems with computationally expensive fitness …

Hyperparameter optimization (HPO) and neural architecture search (NAS) of machine
learning (ML) models are in the core implementation steps of AI-enabled systems. With multi …

The recent literature reveals a dichotomy formed by a coevolution between cryptography
and Artificial Intelligence (AI). This dichotomy consists of two sides, namely Crypto …

During the optimization process, a large number of data are generated through the search.
Machine learning techniques and algorithms can be used to handle the generated data to …

This book studies the intersection between cryptography and AI, highlighting the significant
cross-impact and potential between the two technologies. The authors first study the …

After some introductory discussions in Sect. 1.1, this chapter studies the role of AI in the
ecosystem of cryptography (Sect. 1.2). The chapter proceeds to study the role of …