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or embedded systems. You have experience in computer architecture and/or hardware synthesis and/or formal methods for hardware verification. You enjoy working in an applied research environment at the state
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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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Lomet, Research Engineer in AI at LIAD, CEA Saclay · Marianne Clausel (University of Lorraine), scientific lead of the national PEPR causali-t-ai program, · Myriam Tami, Associate Professor
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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