A review on malicious facial image processing and possible counter-measures

Dugelay, Jean-Luc
ICPRAM 2024, Keynote talk, 13th International Conference on Pattern Recognition Applications
and Methods, 25 February 2024, Rome, Italy

Recent advances in visual sensor technologies and computer vision enable to create more and more efficient face recognition systems, and more generally speaking, facial image processing tools. Such new performances generate some ethical and societal concerns. In parallel, such advances, in deep learning for example, contribute to the proliferation of malicious digital manipulations. The main objectives for designing such attacks is to access resources illegally, to harm some individuals or to make ineffective some technologies. In this presentation, we give an overview of existing attacks and related techniques attached to some applications in the domains of biometrics (e.g. identity spoofing), of medias (e.g. fake news), of video surveillance (e.g. de-anonymization). Some recent works investigate potential counter-measures for detecting such attacks.


Type:
Talk
City:
Rome
Date:
2024-02-25
Department:
Digital Security
Eurecom Ref:
7609
Copyright:
© EURECOM. Personal use of this material is permitted. The definitive version of this paper was published in ICPRAM 2024, Keynote talk, 13th International Conference on Pattern Recognition Applications
and Methods, 25 February 2024, Rome, Italy and is available at :
See also:

PERMALINK : https://www.eurecom.fr/publication/7609