AI-Café presents: Face de-identification for privacy protection

March 3rd, 2020 (from 3 PM to 4PM CET)

Speaker:

Prof. Ioannis Pitas

(Professor at the Department of Informatics of AUTH and Director of the Artificial Intelligence and Information Analysis (AIIA) lab)

Description of the Talk:

Privacy protection is a very important issue, in the context of social media and GDPR. This lecture overviews the face de-identification problem from an engineering perceptive. In principle, face de-identification methods aim at calculating an affine or a non-linear transformation to an input facial image, so that the depicted person's identity is no longer recognized by humans or automated human analysis tools. Traditional applications in the media mainly involve applying additive noise (e.g., pixilation, blurring) or reconstruction-based techniques to the facial image region, achieving sufficient de-identification performance at the expense of corroding image quality. Recently proposed deep learning-based generative methods for face de-identification promise excellent de-identification performance against automated tools while producing visually pleasing yet still not useful images for the human viewers. Finally, adversarial-based face de-identification methods optimally generate the minimum required additive noise that disables automated face detection/recognition systems, thus the de-identified images maintain maximal utility for human viewers.

Speaker's short bio:

Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and Ph.D. degree in Electrical Engineering, both from the Aristotle University of Thessaloniki (AUTH), Greece. Since 1994, he has been a Professor at the Department of Informatics of AUTH and Director of the Artificial Intelligence and Information Analysis (AIIA) lab. He served as a Visiting Professor at several Universities.

His current interests are in the areas of computer vision, machine learning, autonomous systems, intelligent digital media, image/video processing, human-centered computing, affective computing, 3D imaging and biomedical imaging.

Watch the recording

AI-Café Team

Carmen Mac Williams Organizer, and Moderator of the AI-Cafe. She is the Director of the company Grassroots Arts, and a partner in the European AI4media project.

Emma and Theresa Co-organisers and co-moderators for this new season of Café Season. They are Research Assistants at Grassroots Arts.

This Café is organized by Grassroots Arts. If you have questions about the organisation of this AI-Café or if you want to become a Speaker yourself in one of the next Web Cafe Sessions, please contact carmen@grassroots-arts.eu.

The recordings of the past Web Cafes you can find on our AI-Café video channel: https://www.gotostage.com/channel/ai-cafe. Here is the link to the AI-Cafe website: https://ai-cafe.eu/

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