Zobrazeno 1 - 10
of 709
pro vyhledávání: '"Carvalho, Marco A."'
One of the most critical components of the Internet that an attacker could exploit is the DNS (Domain Name System) protocol and infrastructure. Researchers have been constantly developing methods to detect and defend against the attacks against DNS,
Externí odkaz:
http://arxiv.org/abs/2410.02254
In this study, a new $\Delta$-evaluation method is introduced for solving a column permutation problem defined on a sparse binary matrix with the consecutive ones property. This problem models various $\mathcal{NP}$-hard problems in graph theory and
Externí odkaz:
http://arxiv.org/abs/2409.04926
Autor:
Mahdavi, Atefeh, Carvalho, Marco
Publikováno v:
Atefeh, M., & Marco, C. (2024). "Informed Decision-Making through Advancements in Open Set Recognition and Unknown Sample Detection." Proceedings of the 57th Hawaii International Conference on System Sciences, 1090-1999
Machine learning-based techniques open up many opportunities and improvements to derive deeper and more practical insights from data that can help businesses make informed decisions. However, the majority of these techniques focus on the conventional
Externí odkaz:
http://arxiv.org/abs/2405.05836
Adversarial example detection plays a vital role in adaptive cyber defense, especially in the face of rapidly evolving attacks. In adaptive cyber defense, the nature and characteristics of attacks continuously change, making it crucial to have robust
Externí odkaz:
http://arxiv.org/abs/2308.15663
The 2nd International Workshop on Adaptive Cyber Defense was held at the Florida Institute of Technology, Florida. This workshop was organized to share research that explores unique applications of Artificial Intelligence (AI) and Machine Learning (M
Externí odkaz:
http://arxiv.org/abs/2308.09520
Autor:
Hofsteenge, Jelte W., Carvalho, Marco Aurelio, Botenga, Elenoor L.F., Cune, Marco S., Özcan, Mutlu, Magne, Pascal, Gresnigt, Marco M.M.
Publikováno v:
In The Journal of Prosthetic Dentistry June 2024 131(6):1150-1158
Autor:
Mahdavi, Atefeh, Carvalho, Marco
Open Set Recognition (OSR) is about dealing with unknown situations that were not learned by the models during training. In this paper, we provide a survey of existing works about OSR and distinguish their respective advantages and disadvantages to h
Externí odkaz:
http://arxiv.org/abs/2109.00893
The 1st International Workshop on Adaptive Cyber Defense was held as part of the 2021 International Joint Conference on Artificial Intelligence. This workshop was organized to share research that explores unique applications of Artificial Intelligenc
Externí odkaz:
http://arxiv.org/abs/2108.08476
Static analysis remains one of the most popular approaches for detecting and correcting poor or vulnerable program code. It involves the examination of code listings, test results, or other documentation to identify errors, violations of development
Externí odkaz:
http://arxiv.org/abs/2108.03294
Autor:
Bresser, Rijkje A., Carvalho, Marco A., Naves, Lucas Z., Melma, H., Cune, Marco S., Gresnigt, Marco M.M.
Publikováno v:
In Journal of the Mechanical Behavior of Biomedical Materials April 2024 152