Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Caetano Garaffa, L."'
Autor:
Köylü, T.C., Caetano Garaffa, L., Reinbrecht, Cezar, Zahedi, M.Z., Hamdioui, S., Taouil, M., Kubatova, Hana, Steininger, Andreas, Jenihhin, Maksim, Garbolino, Tomasz, Fiser, Petr, Belohoubek, Jan, Borecky, Jaroslav
Publikováno v:
Proceedings of the 2022 25th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)
The massive deployment of Internet of Things (IoT) devices makes them vulnerable against physical tampering attacks, such as fault injection. These kind of hardware attacks are very popular as they typically do not require complex equipment or high e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a569f14bd14e68b91fe5014ea4540e7c
http://resolver.tudelft.nl/uuid:ca1b2094-448b-44a6-80f0-b8825d6e4d21
http://resolver.tudelft.nl/uuid:ca1b2094-448b-44a6-80f0-b8825d6e4d21
Autor:
Caetano Garaffa, L., Aljuffri, A.A.M., Reinbrecht, Cezar, Hamdioui, S., Taouil, M., Sepulveda, Johanna, O'Conner, L.
Publikováno v:
DSD
2021 24th Euromicro Conference on Digital System Design (DSD): Proceedings
2021 24th Euromicro Conference on Digital System Design (DSD)
2021 24th Euromicro Conference on Digital System Design (DSD): Proceedings
2021 24th Euromicro Conference on Digital System Design (DSD)
Spiking Neural Networks (SNNs) are a strong candidate to be used in future machine learning applications. SNNs can obtain the same accuracy of complex deep learning networks, while only using a fraction of its power. As a result, an increase in popul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f5f5357a8883940b1c7e7db19d942fc
https://doi.org/10.1109/dsd53832.2021.00083
https://doi.org/10.1109/dsd53832.2021.00083
