LATIDIA · Ciberseguridad

Fuga de privacidad a través del análisis mediado por IA de datos de teléfonos inteligentes

arXiv: 2609.28537v1Tipo de anuncio: nuevo Resumen: En los últimos treinta años, la industria de la publicidad en línea construyó un ecosistema de recopilación de datos a gran escala, con el objetivo de rastrear la actividad en línea de un usuario para inferir su

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arXiv:2609.28537v1 Announce Type: new Abstract: Over the past thirty years, the online advertising industry built a large-scale data collection ecosystem, with the goal of tracking a user's online activity to infer their demographics and interests. Traditionally, the ecosystem relied upon the collation and analysis of highly-structured text data like user IP addresses, GPS coordinates, e-commerce purchase histories, and visited URLs. However, recent ML models can parse not only structured text, but also multimedia files and unstructured text inputs---meaning a user's photos, videos, inboxes, and calendars are now ripe for automated analysis. The privacy risks are particularly acute in the context of smartphone apps. A user's phone already acts as a