Semantic Web Access & Personalization Research Lab

Deep Learning for Image Anonymization

With the increasing use of personal images on the internet and social platforms, privacy concerns have grown significantly. Traditional methods for protecting privacy, such as blurring or pixelating faces, are no longer sufficient to prevent the identification of individuals.

This project aims to develop a deep learning-based image anonymization technique that not only protects individual identities in images but also preserves the overall visual quality and utility of the image for future use.

Study example: arxiv

Goal

The student has to investigate recent strategies of deep learning for Image Anonymization

Supervisors

Gaetano Dibenedetto

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