• 
  Spyridon Raptis, Haralampos-G. Stratigopoulos. Minimum Time Maximum Fault Coverage Testing of Spiking Neural Networks. 2024. ⟨hal-04838008⟩
• 
  Hazem H. Hammam, Hassan Aboushady, Haralampos-G. Stratigopoulos. Analog Circuit Anti-Piracy Security by Exploiting Device Ratings. 2024. ⟨hal-04829913⟩
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  Theofilos Spyrou, Said Hamdioui, Haralampos-G. Stratigopoulos. SpikeFI: A Fault Injection Framework for Spiking Neural Networks. 2024. ⟨hal-04825966⟩
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  Joséphine Masini, Frédérique Deshours, Georges Alquié, Olivier Meyer, Sylvain Feruglio, et al.. Enhancing Complementary Split Ring Resonators Performance for Atherosclerosis Diagnosis. The IEEE Biomedical Circuits and Systems Conference (BioCAS), IEEE, Oct 2024, Xi’an, China. ⟨hal-04730720⟩
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  Alán Rodrigo Díaz Rizo, Hassan Aboushady, Haralampos-G. Stratigopoulos. Securing Wireless Integrated Circuits Against Supply Chain Attacks: SyncLock Demonstration. 2024. ⟨hal-04752376⟩
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  Ali Oudrhiri, Alix Munier. Pipeline Configuration Methodology for Optimizing Neural Network Accelerators Utilization under a Throughput Constraint. 2024. ⟨hal-04643096⟩
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  Joséphine Masini, Nadia Benfaddoul, Sylvain Feruglio, Dimitri Galayko, Frédérique Deshours, et al.. Conception d'un système embarqué pour l'analyse de tissus biologiques spécifiques. Colloque National du GDR SoC2, Jun 2024, Toulouse, France. ⟨hal-04730700⟩
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  Joséphine Masini, Frédérique Deshours, Georges Alquié, Olivier Meyer, Sylvain Feruglio, et al.. Optimisation des performances de résonateurs en anneaux fendus complémentaires (CSRRs) pour le diagnostic de l'athérosclérose. 23ème Journées Nationales Microondes, Jun 2024, Antibes - Juan les Pins, France. ⟨hal-04730669⟩
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  Jonathan Fontaine. Optimisation de l’insertion de contre-mesures pour la sécurité des circuits intégrés. Recherche opérationnelle [math.OC]. Sorbonne Université, 2024. Français. ⟨NNT : 2024SORUS058⟩. ⟨tel-04602671⟩
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  Alán Rodrigo Díaz Rizo, Abdelrahman Emad Abdelazim, Hassan Aboushady, Haralampos-G. Stratigopoulos. Covert Communication Channels Based On Hardware Trojans: Open-Source Dataset and AI-Based Detection. IEEE International Symposium on Hardware Oriented Security and Trust, May 2024, Washington D.C., United States. ⟨hal-04505994⟩

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