All Outputs (2)

Anomaly Detection with Transformers in Face Anti-spoofing (2023)
Presentation / Conference Contribution
Abduh, L., Omar, L., & Ivrissimtzis, I. (2023, May). Anomaly Detection with Transformers in Face Anti-spoofing. Presented at WSGC 2023: 31. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2023, Plzen, Czech Republic

Transformers are emerging as the new gold standard in various computer vision applications, and have already been used in face anti-spoofing demonstrating competitive performance. In this paper, we propose a network with the ViT transformer and ResNe... Read More about Anomaly Detection with Transformers in Face Anti-spoofing.

Race Bias Analysis of Bona Fide Errors in Face Anti-spoofing (2023)
Presentation / Conference Contribution
Abduh, L., & Ivrissimtzis, I. (2023, September). Race Bias Analysis of Bona Fide Errors in Face Anti-spoofing. Presented at CAIP 2023: The 20th International Conference on Computer Analysis of Images and Patterns, Limassol, Cyprus

The study of bias in Machine Learning is receiving a lot of attention in recent years, however, few only papers deal explicitly with the problem of race bias in face anti-spoofing. In this paper, we present a systematic study of race bias in face ant... Read More about Race Bias Analysis of Bona Fide Errors in Face Anti-spoofing.