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X-WR-CALNAME:GREYC UMR CNRS 6072 - Groupe de Recherche en Informatique, Image, et Instrumentation de Caen
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X-WR-CALDESC:évènements pour GREYC UMR CNRS 6072 - Groupe de Recherche en Informatique, Image, et Instrumentation de Caen
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TZID:Europe/Paris
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DTSTART:20250330T010000
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DTSTART:20251026T010000
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DTSTART;TZID=Europe/Paris:20250424T140000
DTEND;TZID=Europe/Paris:20250424T150000
DTSTAMP:20260421T114831
CREATED:20250326T101124Z
LAST-MODIFIED:20250326T101124Z
UID:11819-1745503200-1745506800@www.greyc.fr
SUMMARY:Séminaire Image : "Multi-modal Identity Extraction"\, Ryan Webster
DESCRIPTION:Nous aurons le plaisir d’écouter Ryan Webster\, post-doctorant à l’INRIA Rennes.\nIl donnera un séminaire IMAGE le jeudi 24 avril 2025 à 14h en salle de séminaire F-200. \nTitre : « Multi-modal Identity Extraction » \nRésumé : \nFoundational Vision Language Models (VLMs) exhibit extremely general capabilities derived from their web-scale training data. Because web data inherently contains visual and textual information about people\, using VLMs to identify people has been raised as a potential issue. Recent work demonstrates that an attacker can infer whether a VLM was trained on a person’s images\, given they possess the ground truth face/name pair. In this work\, we show an attacker can extract names of individuals given images only\, which we dub Identity Extraction. We first derive a baseline black-box extraction attack by building off of previous research on membership inference. In the most difficult setting\, where no ground truth names are available to the attacker\, we demonstrate successful extractions via reinforcement learning. As we scaled up the evaluation set from previous work\, we finally show the interest of our work as a model auditing tool. \n 
URL:https://www.greyc.fr/event/seminaire-image-multi-modal-identity-extraction-ryan-webster/
LOCATION:ENSICAEN – Batiment F – Salle F-200\, 6 Bd Maréchal Juin\, Caen\, 14050\, France
CATEGORIES:Image,Seminaire Image
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