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on efficiency in surface, power consumption, and computing performance. Vision Transformers (ViTs) have recently demonstrated superior performance over Convolutional Neural Networks (CNNs) in a wide
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Context: Fault injection allows an attacker to move the target processor out of its expected functioning bounds. A hardware perturbation, by means of a fault injection, aims at inducing logical
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of this internship is to develop wideband or dual-band matching networks and power combiners using an analytical approach that enables the direct synthesis of these components from specified performance requirements
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for process-local loose coupling in high-performance simulation codes. PDI supports the modularization of codes by inter-mediating data exchange between the main simulation code and independent modules (plugins
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Stage - Generative Privacy Attacks and Defenses in Federated Learning via Diffusion Models H/F This internship focuses on exploring the dual role of diffusion models in Federated Learning: understanding how they can be used to reconstruct sensitive client data and designing robust defense...
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We are looking for a candidate with a Master's degree, Engineer's degree or PhD in computer science, junior or senior, to join a team responsible for the packaging, deployment, and testing
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responsible to develop and test the new software in collaboration with experts of genomics at Joliot and of computer science at MdS. Your mission will include: Discussions and set-up of the physical models