Výsledky vyhledávání - "PAPADIMITRIOU, ATHANASIOS"

Report

Analyzing the Single Event Upset Vulnerability of Binarized Neural Networks on SRAM FPGAs

Autor: Souvatzoglou, Ioanna, Papadimitriou, Athanasios, Sari, Aitzan, Vlagkoulis, Vasileios, Psarakis, Mihalis

Neural Networks (NNs) are increasingly used in the last decade in several demanding applications, such as object detection and classification, autonomous driving, etc. Among different computing platforms for implementing NNs, FPGAs have multiple adva

Externí odkaz: http://arxiv.org/abs/2404.01757

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Report

On the Prediction of Hardware Security Properties of HLS Designs Using Graph Neural Networks

Autor: Koufopoulou, Amalia Artemis, Papadimitriou, Athanasios, Pikrakis, Aggelos, Psarakis, Mihalis, Hely, David

High-level synthesis (HLS) tools have provided significant productivity enhancements to the design flow of digital systems in recent years, resulting in highly-optimized circuits, in terms of area and latency. Given the evolution of hardware attacks,

Externí odkaz: http://arxiv.org/abs/2312.07594

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Report

Security and Reliability Evaluation of Countermeasures implemented using High-Level Synthesis

Autor: Koufopoulou, Amalia Artemis, Xevgeni, Kalliopi, Papadimitriou, Athanasios, Psarakis, Mihalis, Hely, David

As the complexity of digital circuits increases, High-Level Synthesis (HLS) is becoming a valuable tool to increase productivity and design reuse by utilizing relevant Electronic Design Automation (EDA) flows, either for Application-Specific Integrat

Externí odkaz: http://arxiv.org/abs/2312.06268

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Dissertation/ Thesis

Modélisation au niveau RTL des attaques laser pour l'évaluation des circuits intégrés sécurisés et la conception de contremesures

Autor: Papadimitriou, Athanasios

De nombreux aspects de notre vie courante reposent sur l'échange de données grâce à des systèmes de communication électroniques. Des algorithmes de chiffrement puissants garantissent alors la sécurité, la confidentialité et l'authentificatio

Externí odkaz: http://www.theses.fr/2016GREAT041/document

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