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pro vyhledávání: '"Mekdad, Yassine"'
Autor:
Mekdad, Yassine, Acar, Abbas, Aris, Ahmet, Fergougui, Abdeslam El, Conti, Mauro, Lazzeretti, Riccardo, Uluagac, Selcuk
Recent advancements in drone technology have shown that commercial off-the-shelf Micro Aerial Drones are more effective than large-sized drones for performing flight missions in narrow environments, such as swarming, indoor navigation, and inspection
Externí odkaz:
http://arxiv.org/abs/2403.03858
Digital wallet as a software program or a digital device allows users to conduct various transactions. Hot and cold digital wallets are considered as two types of this wallet. Digital wallets need an online connection fall into the first group, where
Externí odkaz:
http://arxiv.org/abs/2303.12940
In the past few years, Convolutional Neural Networks (CNN) have demonstrated promising performance in various real-world cybersecurity applications, such as network and multimedia security. However, the underlying fragility of CNN structures poses ma
Externí odkaz:
http://arxiv.org/abs/2209.12195
Autor:
Nowroozi, Ehsan, Mohammadi, Mohammadreza, Golmohammadi, Pargol, Mekdad, Yassine, Conti, Mauro, Uluagac, Selcuk
In the past decades, the rise of artificial intelligence has given us the capabilities to solve the most challenging problems in our day-to-day lives, such as cancer prediction and autonomous navigation. However, these applications might not be relia
Externí odkaz:
http://arxiv.org/abs/2209.04930
Autor:
Nowroozi, Ehsan, Mekdad, Yassine, Conti, Mauro, Milani, Simone, Uluagac, Selcuk, Yanikoglu, Berrin
Recently, the popularity and wide use of the last-generation video conferencing technologies created an exponential growth in its market size. Such technology allows participants in different geographic regions to have a virtual face-to-face meeting.
Externí odkaz:
http://arxiv.org/abs/2204.11853
In the past decades, the excessive use of the last-generation GAN (Generative Adversarial Networks) models in computer vision has enabled the creation of artificial face images that are visually indistinguishable from genuine ones. These images are p
Externí odkaz:
http://arxiv.org/abs/2203.01716
Autor:
Nowroozi, Ehsan, Mekdad, Yassine, Berenjestanaki, Mohammad Hajian, Conti, Mauro, Fergougui, Abdeslam EL
Convolutional Neural Networks (CNNs) models are one of the most frequently used deep learning networks, and extensively used in both academia and industry. Recent studies demonstrated that adversarial attacks against such models can maintain their ef
Externí odkaz:
http://arxiv.org/abs/2110.04488
Autor:
Mekdad, Yassine, Aris, Ahmet, Babun, Leonardo, Fergougui, Abdeslam EL, Conti, Mauro, Lazzeretti, Riccardo, Uluagac, A. Selcuk
In the 21st century, the industry of drones, also known as Unmanned Aerial Vehicles (UAVs), has witnessed a rapid increase with its large number of airspace users. The tremendous benefits of this technology in civilian applications such as hostage re
Externí odkaz:
http://arxiv.org/abs/2109.14442
Autor:
Mekdad, Yassine, Aris, Ahmet, Babun, Leonardo, Fergougui, Abdeslam El, Conti, Mauro, Lazzeretti, Riccardo, Uluagac, A. Selcuk
Publikováno v:
In Computer Networks April 2023 224
Akademický článek
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