3 papers
cs.HC2025
Explainable AI in Usable Privacy and Security: Challenges and Opportunities
Vincent Freiberger, Arthur Fleig, Erik Buchmann
Large Language Models (LLMs) are increasingly being used for automated evaluations and explaining them. However, concerns about explanation quality, consistency, and hallucinations…
cs.HC2025
"You don't need a university degree to comprehend data protection this way": LLM-Powered Interactive Privacy Policy Assessment
Vincent Freiberger, Arthur Fleig, Erik Buchmann
Protecting online privacy requires users to engage with and comprehend website privacy policies, but many policies are difficult and tedious to read. We present the first qualitati…
cs.HC2025
Helping Johnny Make Sense of Privacy Policies with LLMs
Vincent Freiberger, Arthur Fleig, Erik Buchmann
Understanding and engaging with privacy policies is crucial for online privacy, yet these documents remain notoriously complex and difficult to navigate. We present PRISMe, an inte…