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DTSTART;TZID=Europe/Paris:20240423T123000
DTEND;TZID=Europe/Paris:20240423T143000
DTSTAMP:20260410T125035
CREATED:20240319T120417Z
LAST-MODIFIED:20240402T111713Z
UID:10846-1713875400-1713882600@datacraft.paris
SUMMARY:State of the art - Safeguarding data through LLM Watermarking
DESCRIPTION:Inscription\n                \n            \n            \n			\n				\n				\n				\n				\n				\nThis state of the art will be led by Tom Sander\, META AI (FAIR) \nIn this talk\, we will turn our attention to the concept of watermarking\, a powerful tool that considerably helps in the authentication of AI-generated content. We will discuss how watermarking can also help confirm that a model was trained on a specific dataset\, a capability that is particularly useful in identifying copyright infringement and detecting instances of model stealing or imitation. \nTom’s work: https://scholar.google.com/citations?user=xrewx-sAAAAJ&hl=en
URL:https://datacraft.paris/event/state-of-the-art-preserving-privacy-in-machine-learning-and-data-protection-2/
LOCATION:datacraft –\, 3 rue Rossini\, 75009 Paris\, France
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