Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Kassem Kallas"'
Publikováno v:
EURASIP Journal on Information Security, Vol 2024, Iss 1, Pp 1-26 (2024)
Abstract Deep neural networks (DNNs) are fundamental to modern applications like face recognition and autonomous driving. However, their security is a significant concern due to various integrity risks, such as backdoor attacks. In these attacks, com
Externí odkaz:
https://doaj.org/article/229e33be82d445109cd7a79e10e521f3
Publikováno v:
IEEE Access, Vol 12, Pp 47433-47468 (2024)
Deep learning has significantly transformed face recognition, enabling the deployment of large-scale, state-of-the-art solutions worldwide. However, the widespread adoption of deep neural networks (DNNs) and the rise of Machine Learning as a Service
Externí odkaz:
https://doaj.org/article/e97e10290dcc427da0cc4c566356713d
Publikováno v:
Revista Politécnica, Vol 34, Iss 2, Pp 1-1 (2014)
En el presente trabajo se realiza un breve estudio de los diferentes modelos de propagación para interiores, se ha considerado tres diferentes modelos de propagación, además se describe la realización de mediciones en el sitio (site survey). Tant
Externí odkaz:
https://doaj.org/article/b218c8d10d4b404db06d6e13d71962c3
Publikováno v:
2022 IEEE Wireless Communications and Networking Conference (WCNC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffb159deb4f9d763f802f3b522635401
https://doi.org/10.1109/wcnc51071.2022.9771737
https://doi.org/10.1109/wcnc51071.2022.9771737
Publikováno v:
2021 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0da45d06eb1223f66060bd39814f3662
https://doi.org/10.1109/dyspan53946.2021.9677280
https://doi.org/10.1109/dyspan53946.2021.9677280
This book explores various aspects of digital forensics, security and machine learning, while offering valuable insights into the ever-evolving landscape of multimedia forensics and data security. This book's content can be summarized in two main are
Publikováno v:
Information Fusion in Distributed Sensor Networks with Byzantines ISBN: 9789813290006
Information fusion in distributed sensor networks may suffer from various threats and attacks. An incentive for the adversary could be the critical nature of the phenomenon observed by sensors, such as troops passage in a battlefield, traffic flow [1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27558aa47af8d0410adf845e09d2945e
https://doi.org/10.1007/978-981-32-9001-3_3
https://doi.org/10.1007/978-981-32-9001-3_3
Publikováno v:
Information Fusion in Distributed Sensor Networks with Byzantines ISBN: 9789813290006
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::523d63f04c826e70d26ea74f807ad629
https://doi.org/10.1007/978-981-32-9001-3_7
https://doi.org/10.1007/978-981-32-9001-3_7
Publikováno v:
Information Fusion in Distributed Sensor Networks with Byzantines ISBN: 9789813290006
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60dbd4755487d5813406e72d219d5db8
https://doi.org/10.1007/978-981-32-9001-3_1
https://doi.org/10.1007/978-981-32-9001-3_1
Publikováno v:
Information Fusion in Distributed Sensor Networks with Byzantines ISBN: 9789813290006
In this chapter we present a heuristic approach for adversarial decision fusion in centralized distributed sensor networks. In the setup considered, the fusion center is required to make a decision about the status of an observed system by relying on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e6c772e397e93b2fe2c6192f6cfe626
https://doi.org/10.1007/978-981-32-9001-3_4
https://doi.org/10.1007/978-981-32-9001-3_4