Controllable Feature-Preserving Style Transfer

Chen, Feichi; Ji, Naye; Zhao, Youbin; Gao, Fuxing

doi:10.1007/978-981-99-7587-7_8

Communications in Computer and Information Science

2023

DOI: 10.1007/978-981-99-7587-7_8

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Controllable Feature-Preserving Style Transfer

Feichi Chen,

Naye Ji,

Youbin Zhao

et al.

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2024

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Generative AI for Secure User Interface (UI) Design

Sindiramutty,

Prabagaran,

Akbar

et al. 2024

Advances in Information Security, Privacy, and Ethics

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Generative AI, which is equipped with unique capabilities, is about to put the world of secure user interface (UI) design upside down and turn it into something full of endless possibilities in which users will be able to use the same opportunities and experienced solutions to protect their interaction in digital from any future security threats. This chapter takes a deep plunge into the merger of the generative AI with the secure user interface design, on the whole, presenting a complete exposition of the principals involved, methodologies applied, practical embodiment, and ultimate ramifications. The beginning will explore the building blocks of UI design principles and the user-centred iterative approach, wherein a robust framework for understanding Generative AI as a critical part of building secure, intuitive, and engaging user experiences is implemented. Further, it provides an overview of different types of generative AI approaches that could be deployed for secure UI design, such as GANs, VAEs, and autoregressive models, with their capabilities expanding the scope of security measures, which include authentication protocols, encryption, and user access rights while retaining usability and aesthetic appeal. Moreover, it surveys instance applications of the generative AI that support the Secure design of GUI, among the automatic generation of safe layout patterns, the dynamic change of the interface according to emerging threats, and the creation of cryptographic keys and secure symbols.

show abstract

Generative AI for Secure User Interface (UI) Design

Sindiramutty,

Prabagaran,

Akbar

et al. 2024

Advances in Information Security, Privacy, and Ethics

View full text Add to dashboard Cite

show abstract

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Controllable Feature-Preserving Style Transfer

Cited by 1 publication

References 13 publications

Generative AI for Secure User Interface (UI) Design

Generative AI for Secure User Interface (UI) Design

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