Search Results for author:
Found 2 papers, 1 papers with code
PEAK: Explainable Privacy Assistant through Automated Knowledge Extraction
The generated explanations can be used by users to understand the recommendations of the privacy assistant.
Uncertainty-aware Personal Assistant for Making Personalized Privacy Decisions
By factoring in the user's own understanding of privacy, such as risk factors or own labels, the personal assistant can personalize its recommendations per user.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
