Ricerca CERCA

Protecting privacy online with stable diffusion models


Reference persons LIA MORRA

Research Groups DAUIN - GR-09 - GRAphics and INtelligent Systems - GRAINS

Description Current social media generate a tremendous amount of visual material, that can be exploited by researchers operating in social media research, digital humanities, and marketing. However, privacy regulations impose significant restrictions to both data collection and sharing. The CAMOUFLAGE project, funded by the AI4Media European project, aims to exploit diffusion model (such as Stable Diffusion) to produce a synthetic version of an existing image, presenting equivalent visual and semantic characteristics of the original, while at the same time fully preserving the anonymity of the user who published the image. The project has a strong multidisciplinary focus and will be carried out in collaboration with researchers in visual semiotics to determine the quality and information content of the generated image. The system will be tested on a collection of real Facebook and Instagram profile pictures. Multiple thesis are available tackling three distinct, yet related, research objectives: to design and implement controllable image synthesis that retains the visual and semantic content of a target image; to determine whether the resulting synthetic images can be considered successfully anonymized, in comparison with state-of-the-art solutions based on GANs; and whether the synthetic collection has the same information content of the original image.

Required skills deep learning, pytorch

Deadline 20/02/2024      PROPONI LA TUA CANDIDATURA

© Politecnico di Torino
Corso Duca degli Abruzzi, 24 - 10129 Torino, ITALY