Zobrazeno 1 - 10
of 7 926
pro vyhledávání: '"Privacy software"'
Autor:
Rodríguez-Barroso, Nuria, Stipcich, Goran, Jiménez-López, Daniel, Ruiz-Millán, José Antonio, Martínez-Cámara, Eugenio, González-Seco, Gerardo, Luzón, M. Victoria, Veganzones, Miguel Ángel, Herrera, Francisco
Publikováno v:
Information Fusion 64 (2020) 270-292
The high demand of artificial intelligence services at the edges that also preserve data privacy has pushed the research on novel machine learning paradigms that fit those requirements. Federated learning has the ambition to protect data privacy thro
Externí odkaz:
http://arxiv.org/abs/2007.00914
Conference
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Autor:
Sara Landini
Publikováno v:
Services and Business Process Reengineering ISBN: 9789811630484
This paper deals with the use of software in insurance production and distribution considering the privacy issues that can arise. With regards to those uses, we will first consider the use of software in distribution that is needed to better perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40dd371e7ac709e13302c0c160ab6763
https://doi.org/10.1007/978-981-16-3049-1_14
https://doi.org/10.1007/978-981-16-3049-1_14
Autor:
Gary Polhill, Douglas Salt
Publikováno v:
Advances in Social Simulation. ESSA 2019. Springer Proceedings in Complexity.
Springer Proceedings in Complexity ISBN: 9783030615024
ESSA
Springer Proceedings in Complexity
Springer Proceedings in Complexity-Advances in Social Simulation
Springer Proceedings in Complexity ISBN: 9783030615024
ESSA
Springer Proceedings in Complexity
Springer Proceedings in Complexity-Advances in Social Simulation
A description of a NetLogo extension and the reasoning behind its des ign and implementation. The extension makes use of Gnu’s Pretty Good Privacy sof tware suite to encrypt arbitrary data sources in Netlogo. This both secures the data to a reasona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3d36e0eccb0ad5585b0c0b0e7d580c1
Autor:
Shahid Anium
Publikováno v:
2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH).
Internet age thrives on connectivity features and accessibility options, while denial of services attacks are detrimental to accessibility. In this context our research is making use of software exposures datasets from National Institute of Standards
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecc4acb6bd7decbba7e9b99a0782b722
https://doi.org/10.1109/smart-tech49988.2020.00028
https://doi.org/10.1109/smart-tech49988.2020.00028
Autor:
Rodríguez Barroso, Nuria, Jiménez López, Daniel, Ruiz Millán, José Antonio, Martínez Cámara, Eugenio, Luzón García, María Victoria, Herrera Triguero, Francisco
The high demand of artificial intelligence services at the edges that also preserve data privacy has pushed the research on novel machine learning paradigms that fit these requirements. Federated learning has the ambition to protect data privacy thro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1648::07a67a169263b4eeaecb9a1f7db72fba
https://hdl.handle.net/10481/77990
https://hdl.handle.net/10481/77990
Autor:
Gerardo González-Seco, Eugenio Martínez-Cámara, Francisco López Herrera, Miguel Angel Veganzones, M. Victoria Luzón, Nuria Rodríguez-Barroso, José Antonio Ruiz-Millán, Daniel Jiménez-López, Goran Stipcich
The high demand of artificial intelligence services at the edges that also preserve data privacy has pushed the research on novel machine learning paradigms that fit those requirements. Federated learning has the ambition to protect data privacy thro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb705126fbf34b7321b18468c1a84f86
Conference
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Conference
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