This chapter explores the principles and frameworks of human-centered Artificial
Intelligence (AI), specifically focusing on user modeling, adaptation, and personalization. It …

The rapid development of cloud computing environments has resulted in various advances
and personalized services for users, raising thus several privacy issues. Towards this …

The software engineering community aims to achieve and maintain high‐efficient software
engineering practical activities. One of the techniques used for this purpose is Test‐Driven …

Purpose In light of increasing public concern over social media privacy breaches, this study
aims to unveil the context-dependent and individual-specific nature of social media …

In many applications and websites people use in their everyday life, their privacy and data
are threatened, eg, by script tracking during browsing. Although researchers and companies …

Digital ecosystems are driving the digital transformation of business models. Meanwhile, the
associated processing of personal data within these complex systems poses challenges to …

This paper presents a novel approach to address the challenges of self-adaptive privacy in
cloud computing environments (CCE). Under the Cloud-InSPiRe project, the aim is to …

Privacy design in cloud systems remains complex, with unclear processes and a mismatch
between privacy engineering and cloud integration challenges. Developers play a pivotal …

Clustering anonymity is a common social network data privacy protection scheme, which is
based on graph-clustering. Many existing graph clustering methods mainly focus on the …

Several privacy scholars have advocated for user-tailored privacy (UTP). A privacy-
enhancing adaptive privacy approach to help reconcile users' lack of awareness, privacy …