{"id":44952,"date":"2026-02-24T08:24:42","date_gmt":"2026-02-24T07:24:42","guid":{"rendered":"https:\/\/www.m-q.ch\/?p=22510"},"modified":"2026-02-24T15:55:45","modified_gmt":"2026-02-24T14:55:45","slug":"pxl-vision-und-idiap-entwickeln-deepfake-detektor","status":"publish","type":"post","link":"https:\/\/www.organisator.ch\/fr\/operational-excellence\/2026-02-24\/pxl-vision-und-idiap-entwickeln-deepfake-detektor\/","title":{"rendered":"PXL Vision et l'Idiap mettent au point un d\u00e9tecteur de failles profondes"},"content":{"rendered":"
\"\"\r\n
La nouvelle technologie de reconnaissance Deepfake est int\u00e9gr\u00e9e dans la solution logicielle PXL Ident. (Source : zvg PXL Vision)<\/figcaption>\r\n<\/figure>\r\n

PXL Vision, fournisseur suisse haut de gamme de v\u00e9rification de l'identit\u00e9 num\u00e9rique, et l'Idiap Research Institute, l'une des principales institutions europ\u00e9ennes en mati\u00e8re d'intelligence artificielle et de biom\u00e9trie, ont achev\u00e9 avec succ\u00e8s leur projet de recherche commun visant \u00e0 am\u00e9liorer la d\u00e9tection des fakes profonds. La collaboration, qui a d\u00e9but\u00e9 au printemps 2024, s'est concentr\u00e9e sur l'identification de visages synth\u00e9tiques lors de la v\u00e9rification de l'identit\u00e9 num\u00e9rique.<\/p>\r\n

Ces images g\u00e9n\u00e9r\u00e9es par l'IA de personnes suppos\u00e9es r\u00e9elles se r\u00e9pandent de plus en plus et repr\u00e9sentent un \u00e9norme d\u00e9fi pour la v\u00e9rification de l'identit\u00e9. En effet, il est d\u00e9sormais difficile de les distinguer des images r\u00e9elles. Le projet de recherche a \u00e9t\u00e9 soutenu par Innosuisse, l'agence suisse pour la promotion de l'innovation.<\/p>\r\n

Trois types de manipulations identifiables<\/h3>\r\n

Le d\u00e9tecteur de fraude profonde est d\u00e9sormais une nouvelle technologie cl\u00e9 int\u00e9gr\u00e9e dans la solution logicielle PXL Ident de PXL Vision et disponible pour tous les clients. Le d\u00e9tecteur PXL Deepfake compl\u00e8te les technologies de pr\u00e9vention de la fraude d\u00e9j\u00e0 existantes et a \u00e9t\u00e9 d\u00e9velopp\u00e9 pour identifier trois types de manipulations : L'\u00e9change de visages, c'est-\u00e0-dire le remplacement du visage d'une personne par celui d'une autre, les faux visages, la manipulation des expressions faciales ou des mouvements d'une personne r\u00e9elle, et les visages enti\u00e8rement synth\u00e9tiques, c'est-\u00e0-dire les images g\u00e9n\u00e9r\u00e9es par l'IA de personnes qui n'existent pas dans la r\u00e9alit\u00e9.<\/p>\r\n

La technologie est disponible pour tous les clients depuis le d\u00e9but de l'ann\u00e9e. Elle est bas\u00e9e sur des architectures d'apprentissage en profondeur avanc\u00e9es et a \u00e9t\u00e9 entra\u00een\u00e9e \u00e0 l'aide d'un ensemble de donn\u00e9es vari\u00e9es et \u00e9tendues d'images faciales r\u00e9elles et manipul\u00e9es. Le d\u00e9tecteur Deepfake repr\u00e9sente une \u00e9tape importante dans la mission de l'entreprise visant \u00e0 garantir la confiance, l'authenticit\u00e9 et la conformit\u00e9 dans la v\u00e9rification de l'identit\u00e9 num\u00e9rique.<\/p>\r\n

\"\"\r\n
Les visages synth\u00e9tiques sont reconnus gr\u00e2ce \u00e0 des architectures avanc\u00e9es d'apprentissage en profondeur. (Source : zvg PXL Vision)<\/figcaption>\r\n<\/figure>\r\n

Le d\u00e9fi des documents d'identit\u00e9<\/h3>\r\n

S\u00e9bastien Marcel, responsable du groupe de s\u00e9curit\u00e9 biom\u00e9trique et de protection des donn\u00e9es et membre de l'\u00e9quipe de direction int\u00e9rimaire de l'Idiap, d\u00e9clare : \u00abDans le cadre de ce projet, nous avons d\u00e9velopp\u00e9 des technologies avanc\u00e9es bas\u00e9es sur l'IA pour d\u00e9tecter et contrer les deepfakes et autres formes de fraude \u00e0 l'identit\u00e9. Cette r\u00e9alisation refl\u00e8te la longue expertise de l'Idiap dans les domaines de la biom\u00e9trie, de la s\u00e9curit\u00e9 par IA et de l'identit\u00e9 num\u00e9rique de confiance. Notre collaboration avec PXL Vision a \u00e9t\u00e9 \u00e0 la fois productive et inspirante. Nous sommes impatients de continuer \u00e0 repousser les limites d'une v\u00e9rification d'identit\u00e9 robuste et respectueuse de la vie priv\u00e9e\u00bb.\u00bb<\/p>\r\n

Le plus grand d\u00e9fi de S\u00e9bastien Marcel et de son \u00e9quipe a \u00e9t\u00e9 de mettre \u00e0 profit leur savoir-faire en mati\u00e8re de biom\u00e9trie pour r\u00e9soudre un probl\u00e8me nouveau et ambitieux : Les documents d'identit\u00e9. \u00abNous n'avions qu'une exp\u00e9rience limit\u00e9e des documents d'identit\u00e9 et nous avons pu nous appuyer sur la solide expertise de PXL dans ce domaine\u00bb, poursuit Marcel. \u00abLe r\u00e9sultat obtenu a d\u00e9pass\u00e9 nos attentes initiales\u00bb.\u00bb<\/p>\r\n

\u00abLa collaboration avec l'\u00e9quipe de l'Idiap a \u00e9t\u00e9 extr\u00eamement enrichissante\u00bb, d\u00e9clare Nevena Shamoska, CTO de PXL Vision. \u00abGr\u00e2ce \u00e0 son expertise de premier ordre dans les domaines de la biom\u00e9trie et de l'IA g\u00e9n\u00e9rative, nous avons pu acc\u00e9l\u00e9rer consid\u00e9rablement nos progr\u00e8s dans l'int\u00e9gration des fonctionnalit\u00e9s de d\u00e9tection de pointe de deepfake dans notre plateforme\u00bb.\u00bb<\/p>\r\n

D'autres investissements pr\u00e9vus<\/h3>\r\n

PXL Vision continuera \u00e0 investir dans la recherche sur la s\u00e9curit\u00e9 biom\u00e9trique, l'IA forensique et la r\u00e9silience deepfake afin de prot\u00e9ger efficacement les clients des secteurs de la finance, des t\u00e9l\u00e9communications et du gouvernement contre les attaques d'identit\u00e9s num\u00e9riques de nouvelle g\u00e9n\u00e9ration. L'Idiap lui-m\u00eame traitera scientifiquement les connaissances acquises dans le cadre du projet de recherche et les utilisera comme contenu pour des livres blancs et des conf\u00e9rences sp\u00e9cialis\u00e9es.<\/p>\r\n

Plus d'informations : www.pxl-vision.com<\/a><\/em><\/p>\n

Cet article est paru initialement sur m-q.ch - https:\/\/www.m-q.ch\/de\/pxl-vision-und-idiap-entwickeln-deepfake-detektor\/<\/a><\/p>","protected":false},"excerpt":{"rendered":"

PXL Vision et l'Idiap Research Institute ont men\u00e9 \u00e0 bien un projet de recherche commun sur la d\u00e9tection des deepfakes. Le nouveau d\u00e9tecteur de deepfakes identifie les visages synth\u00e9tiques, les \u00e9changes de visages et les expressions faciales manipul\u00e9es lors de la v\u00e9rification de l'identit\u00e9 num\u00e9rique et est int\u00e9gr\u00e9 dans la solution logicielle PXL Ident depuis d\u00e9but 2026.<\/p>","protected":false},"author":8,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_focuskw":"Deepfake","_yoast_wpseo_metadesc":"PXL Vision und das Idiap Research Institute haben ein gemeinsames Forschungsprojekt zur Deepfake-Erkennung erfolgreich abgeschlossen.","articlekey":"","footnotes":""},"categories":[582],"tags":[608,4775,274,393,418],"class_list":["post-44952","post","type-post","status-publish","format-standard","hentry","category-operational-excellence","tag-cybersicherheit","tag-deepfake","tag-innovation","tag-produkte","tag-risikomanagement"],"acf":[],"yoast_head":"\nPXL Vision und Idiap entwickeln Deepfake-Detektor - 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