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of 105
pro vyhledávání: '"Ferrara, Matteo"'
In response to the rising threat of the face morphing attack, this paper introduces and explores the potential of Video-based Morphing Attack Detection (V-MAD) systems in real-world operational scenarios. While current morphing attack detection metho
Externí odkaz:
http://arxiv.org/abs/2404.06963
Autor:
Maltoni, Davide, Ferrara, Matteo
Publikováno v:
\Neural Networks, vol. 179, 2024
A better understanding of the emergent computation and problem-solving capabilities of recent large language models is of paramount importance to further improve them and broaden their applicability. This work investigates how a language model, train
Externí odkaz:
http://arxiv.org/abs/2308.01154
In security systems the risk assessment in the sense of common criteria testing is a very relevant topic; this requires quantifying the attack potential in terms of the expertise of the attacker, his knowledge about the target and access to equipment
Externí odkaz:
http://arxiv.org/abs/2204.13374
Autor:
Raja, Kiran, Ferrara, Matteo, Franco, Annalisa, Spreeuwers, Luuk, Batskos, Illias, Gomez-Barrero, Florens de Wit Marta, Scherhag, Ulrich, Fischer, Daniel, Venkatesh, Sushma, Singh, Jag Mohan, Li, Guoqiang, Bergeron, Loïc, Isadskiy, Sergey, Ramachandra, Raghavendra, Rathgeb, Christian, Frings, Dinusha, Seidel, Uwe, Knopjes, Fons, Veldhuis, Raymond, Maltoni, Davide, Busch, Christoph
Morphing attacks have posed a severe threat to Face Recognition System (FRS). Despite the number of advancements reported in recent works, we note serious open issues such as independent benchmarking, generalizability challenges and considerations to
Externí odkaz:
http://arxiv.org/abs/2006.06458
Face morphing represents nowadays a big security threat in the context of electronic identity documents as well as an interesting challenge for researchers in the field of face recognition. Despite of the good performance obtained by state-of-the-art
Externí odkaz:
http://arxiv.org/abs/1901.08811
Publikováno v:
In Information Sciences 10 June 2015 306:1-20
Publikováno v:
In Neurocomputing 3 February 2015 149 Part B:526-535
Publikováno v:
In Expert Systems With Applications January 2015 42(1):125-134