activity
20242026
collaborators

6 papers

cs.HC2026

The Privacy Guardian Agent: Towards Trustworthy AI Privacy Agents

Vincent Freiberger

The current "notice and consent" paradigm is broken: consent dialogues are often manipulative, and users cannot realistically read or understand every privacy policy. While recent…

cs.HC2026

Who Explains Privacy Policies to Me? Embodied and Textual LLM-Powered Privacy Assistants in Virtual Reality

Vincent Freiberger, Moritz Dresch, Florian Alt +2

Virtual Reality (VR) systems collect fine-grained behavioral and biometric data, yet privacy policies are rarely read or understood due to their complex language, length, and poor…

cs.HC2026

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…

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.CY2024

Assessing Privacy Policies with AI: Ethical, Legal, and Technical Challenges

Irem Aydin, Hermann Diebel-Fischer, Vincent Freiberger +5

The growing use of Machine Learning and Artificial Intelligence (AI), particularly Large Language Models (LLMs) like OpenAI's GPT series, leads to disruptive changes across organiz…