5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Beyond Detection: Visual Realism Assessment of Deepfakes
Luka Dragar, Peter Peer, Vitomir Štruc +1
In the era of rapid digitalization and artificial intelligence advancements, the development of DeepFake technology has posed significant security and privacy concerns. This paper…
cs.CV2022
SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data
Marco Huber, Fadi Boutros, Anh Thi Luu +16
This paper presents a summary of the Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data (SYN-MAD) held at the 2022 International Joint Con…
cs.CV2022★ 5 cited
Face Morphing Attack Detection Using Privacy-Aware Training Data
Marija Ivanovska, Andrej Kronovšek, Peter Peer +2
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 mor…