4 papers
On the Security and Privacy of AI-based Mobile Health Chatbots
Samuel Wairimu, Leonardo Horn Iwaya
The rise of Artificial Intelligence (AI) has impacted the development of mobile health (mHealth) apps, most notably with the advent of AI-based chatbots used as ubiquitous ``compan…
AI-driven Personalized Privacy Assistants: a Systematic Literature Review
Victor Morel, Leonardo Iwaya, Simone Fischer-Hübner
In recent years, several personalized assistants based on AI have been researched and developed to help users make privacy-related decisions. These AI-driven Personalized Privacy A…
Security Analysis of Top-Ranked mHealth Fitness Apps: An Empirical Study
Albin Forsberg, Leonardo Horn Iwaya
Mobile health applications (mHealth apps), particularly in the health and fitness category, have experienced an increase in popularity due to their convenience and availability. Ho…
Privacy Impact Assessments in the Wild: A Scoping Review
Leonardo Horn Iwaya, Ala Sarah Alaqra, Marit Hansen +1
Privacy Impact Assessments (PIAs) offer a systematic process for assessing the privacy impacts of a project or system. As a privacy engineering strategy, PIAs are heralded as one o…