Zobrazeno 1 - 10
of 198
pro vyhledávání: '"Taouil, M."'
Publikováno v:
In Microelectronics Reliability September 2018 88-90:355-359
Publikováno v:
Proceedings of the 2022 IEEE European Test Symposium (ETS)
Artificial neural networks (ANNs) are used to accomplish a variety of tasks, including safety critical ones. Hence, it is important to protect them against faults that can influence decisions during operation. In this paper, we propose smart and low-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae611dd5b9fc7cdc16b625c48bfa8f56
https://doi.org/10.1109/ets54262.2022.9810380
https://doi.org/10.1109/ets54262.2022.9810380
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
High-quality memory diagnosis methodologies are critical enablers for scaled memory devices as they reduce time to market and provide valuable information regarding test escapes and customer returns. This paper presents an efficient Hierarchical Memo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::61ef9ae7322fb3433b8035fd1e11b639
https://hdl.handle.net/2117/372115
https://hdl.handle.net/2117/372115
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
Akademický článek
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Akademický článek
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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
Publikováno v:
2021 24th Euromicro Conference on Digital System Design (DSD): Proceedings
2021 24th Euromicro Conference on Digital System Design (DSD)
DSD
2021 24th Euromicro Conference on Digital System Design (DSD)
DSD
Internet of things (IoT) devices are appearing in all aspects of our digital life. As such, they have become prime targets for attackers and hackers. An adequate protection against attacks is only possible when the confidentiality and integrity of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4d48b5f34fb5dbad45d986404e9849f
http://resolver.tudelft.nl/uuid:3d09bc4a-2623-40e3-bce5-eff22169ebfd
http://resolver.tudelft.nl/uuid:3d09bc4a-2623-40e3-bce5-eff22169ebfd
Publikováno v:
2021 18th International Conference on Privacy, Security and Trust (PST)
Artificial neural networks are currently used for many tasks, including safety critical ones such as automated driving. Hence, it is very important to protect them against faults and fault attacks. In this work, we propose two fault injection attack
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e5ae7f19279cece612356dc59ff39f4
https://doi.org/10.1109/pst52912.2021.9647763
https://doi.org/10.1109/pst52912.2021.9647763
Publikováno v:
ISVLSI
Proceedings-2021 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2021: Proceedings
Proceedings-2021 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2021
Proceedings-2021 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2021: Proceedings
Proceedings-2021 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2021
Dynamic Random Access Memory (DRAM)-based systems are widely used in mobile and portable applications where low-cost and high-storage memory capability are required. However, such systems are prone to attacks. A latent threat to DRAM-based system sec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3b263361466f000adcaaef697e89e6c
http://resolver.tudelft.nl/uuid:bc7e8cdc-f8f0-4093-8572-c9e8fb6c2d7c
http://resolver.tudelft.nl/uuid:bc7e8cdc-f8f0-4093-8572-c9e8fb6c2d7c