Sökning: "Data anonymization"
Visar resultat 1 - 5 av 7 avhandlingar innehållade orden Data anonymization.
1. Towards Privacy Preserving Micro-data Analysis : A machine learning based perspective under prevailing privacy regulations
Sammanfattning : Machine learning (ML) has been employed in a wide variety of domains where micro-data (i.e., personal data) are used in the training process. LÄS MER
2. Anonymizing Faces without Destroying Information
Sammanfattning : Anonymization is a broad term. Meaning that personal data, or rather data that identifies a person, is redacted or obscured. In the context of video and image data, the most palpable information is the face. Faces barely change compared to other aspect of a person, such as cloths, and we as people already have a strong sense of recognizing faces. LÄS MER
3. Spatio-Temporal Data Mining for Location-Based Services
Sammanfattning : Largely driven by advances in communication and information technology, such as the increasing availability and accuracy of GPS technology and the miniaturization of wireless communication devices, Location–Based Services (LBS) are continuously gaining popularity. Innovative LBSes integrate knowledge about the users into the service. LÄS MER
4. Privacy Issues in Decentralized Online Social Networks and other Decentralized Systems
Sammanfattning : Popular Online Social Networks (OSNs), such as Facebook or Twitter, are logically centralized systems. The massive information aggregation of sensitive personal data at the central providers of these services is an inherent threat to the privacy of the users. LÄS MER
5. Towards Scalable Machine Learning with Privacy Protection
Sammanfattning : The increasing size and complexity of datasets have accelerated the development of machine learning models and exposed the need for more scalable solutions. This thesis explores challenges associated with large-scale machine learning under data privacy constraints. LÄS MER