Search for dissertations about: "Data anonymization"

Showing result 1 - 5 of 7 swedish dissertations containing the words Data anonymization.

  1. 1. Towards Privacy Preserving Micro-data Analysis : A machine learning based perspective under prevailing privacy regulations

    Author : Navoda Senavirathne; Vicenç Torra; Maria Riveiro; Sonja Buchegger; Högskolan i Skövde; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Data anonymization; data privacy; privacy-preserving machine learning; privacy preserving data publishing; personal data protection; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

    Abstract : 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. READ MORE

  2. 2. Anonymizing Faces without Destroying Information

    Author : Felix Rosberg; Cristofer Englund; Eren Aksoy; Fernando Alonso-Fernandez; Vitomir Struc; Högskolan i Halmstad; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Anonymization; Data Privacy; Generative AI; Reconstruction Attacks; Deep Fakes; Facial Recognition; Identity Tracking; Biometrics;

    Abstract : 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. READ MORE

  3. 3. Spatio-Temporal Data Mining for Location-Based Services

    Author : Gyözö Gidofalvi; Torben Bach Pedersen; Xiaofang Zhou; Agnès Voisard; Simonas Saltenis; Geomatic ApS - Center for Geoinformatics; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; spatio-temporal data mining; location-based services; location and trajectory anonymization;

    Abstract : 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. READ MORE

  4. 4. Privacy Issues in Decentralized Online Social Networks and other Decentralized Systems

    Author : Benjamin Greschbach; Sonja Buchegger; Melek Önen; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Privacy; Online Social Networks; Decentralized Online Social Networks; Computer Science; Datalogi;

    Abstract : 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. READ MORE

  5. 5. Towards Scalable Machine Learning with Privacy Protection

    Author : Dominik Fay; Mikael Johansson; Tobias J. Oechtering; Jens Sjölund; Antti Honkela; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Privacy; Differential Privacy; Dimensionality Reduction; Image Segmentation; Hyperparameter Selection; Adaptive Optimization; Privacy Amplification; Importance Sampling; Maskininlärning; Dataskydd; Differentiell Integritet; Dimensionsreducering; Bildsegmentering; Hyperparameterurval; Adaptiv Optimering; Integritetsförstärkning; Importance Sampling; Datalogi; Computer Science; Informations- och kommunikationsteknik; Information and Communication Technology;

    Abstract : 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. READ MORE