Users Can Deduce Sensitive Locations Protected by Privacy Zones on Fitness Tracking Apps.
Jaron MinkAmanda Rose YuileUma PalAdam J. AvivAdam BatesPublished in: CHI (2022)
Keyphrases
- personal data
- location information
- privacy concerns
- recommender systems
- evolutionary algorithm
- privacy preserving
- mobile applications
- end users
- user interface
- collaborative filtering
- user centric
- particle filter
- information sources
- private information
- identity management
- personal information
- sensitive data
- privacy aware
- unauthorized access
- user experience
- security risks
- object tracking
- user profiles
- social media
- mobile apps
- social network sites
- appearance model
- statistical databases
- real time
- kalman filter
- mean shift
- web search
- search engine