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DTSTART;TZID=Europe/Paris:20240619T123000
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DTSTAMP:20260416T215702
CREATED:20240402T110833Z
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SUMMARY:State of the art - Preserving Privacy in Deep Learning Models
DESCRIPTION:Inscription\n                \n            \n            \n			\n				\n				\n				\n				\n				This state of the art will be led by Tom Sander\, META AI (FAIR)\n \n\nDeep Learning models are known for their capacity to memorize training data\, a characteristic that can lead to significant privacy concerns. \nIn this talk\, we will delve into the implications of this memorization and explore strategies to mitigate its effects. We will discuss practical methods to reduce unintended memorization and their results\, providing insights into how these techniques can be deployed in real-world scenarios. \nTom’s work: https://scholar.google.com/citations?user=xrewx-sAAAAJ&hl=en \nAudience: technique \n\n 
URL:https://datacraft.paris/event/state-of-the-art-preserving-privacy-in-deep-learning-models/
LOCATION:datacraft –\, 3 rue Rossini\, 75009 Paris\, France
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