3 papers
cs.CR2025
Can Large Language Models Automate Phishing Warning Explanations? A Controlled Experiment on Effectiveness and User Perception
Federico Maria Cau, Giuseppe Desolda, Francesco Greco +2
Phishing has become a prominent risk in modern cybersecurity, often used to bypass technological defences by exploiting predictable human behaviour. Warning dialogues are a standar…
cs.HC2025
Understanding User Mental Models in AI-Driven Code Completion Tools: Insights from an Elicitation Study
Giuseppe Desolda, Andrea Esposito, Francesco Greco +3
Integrated Development Environments increasingly implement AI-powered code completion tools (CCTs), which promise to enhance developer efficiency, accuracy, and productivity. Howev…
cs.HC2024
APOLLO: A GPT-based tool to detect phishing emails and generate explanations that warn users
Giuseppe Desolda, Francesco Greco, Luca Viganò
Phishing is one of the most prolific cybercriminal activities, with attacks becoming increasingly sophisticated. It is, therefore, imperative to explore novel technologies to impro…