no code implementations • 11 Jul 2023 • Marija Ivanovska, Vitomir Štruc
The detection of malicious deepfakes is a constantly evolving problem that requires continuous monitoring of detectors to ensure they can detect image manipulations generated by the latest emerging models.
1 code implementation • 3 Jul 2023 • Marija Ivanovska, Vitomir Struc, Janez Pers
Artificial intelligence applications enable farmers to optimize crop growth and production while reducing costs and environmental impact.
1 code implementation • International Workshop on Biometrics and Forensics (IWBF) 2023 • Marija Ivanovska, Vitomir Štruc
Existing MAD techniques predominantly rely on discriminative models that learn from examples of bona fide and morphed images and, as a result, often exhibit sub-optimal generalization performance when confronted with unknown types of morphing attacks.
1 code implementation • 15 Aug 2022 • Marco Huber, Fadi Boutros, Anh Thi Luu, Kiran Raja, Raghavendra Ramachandra, Naser Damer, Pedro C. Neto, Tiago Gonçalves, Ana F. Sequeira, Jaime S. Cardoso, João Tremoço, Miguel Lourenço, Sergio Serra, Eduardo Cermeño, Marija Ivanovska, Borut Batagelj, Andrej Kronovšek, Peter Peer, Vitomir Štruc
The competition attracted a total of 12 participating teams, both from academia and industry and present in 11 different countries.
no code implementations • 2 Jul 2022 • Marija Ivanovska, Andrej Kronovšek, Peter Peer, Vitomir Štruc, Borut Batagelj
Images of morphed faces pose a serious threat to face recognition--based security systems, as they can be used to illegally verify the identity of multiple people with a single morphed image.
no code implementations • 28 Sep 2021 • Marija Ivanovska, Vitomir Štruc
Due to the separation of semantically-relevant and residual information, Y-GAN is able to derive informative data representations that allow for efficient anomaly detection across a diverse set of anomaly detection tasks.