{"id":4,"date":"2024-06-27T11:43:02","date_gmt":"2024-06-27T09:43:02","guid":{"rendered":"https:\/\/sites.unica.it\/ff4all\/home\/"},"modified":"2025-02-27T11:51:05","modified_gmt":"2025-02-27T10:51:05","slug":"home","status":"publish","type":"page","link":"https:\/\/sites.unica.it\/ff4all\/","title":{"rendered":""},"content":{"rendered":"\n

PARTNERS<\/h1>\n\n\n\n
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WP1:<\/strong> Deepfake Attribution and Recognition – Task 1.1 <\/p>\n\n\n\n

WP3: <\/strong>Deepfakes Detection Method on Realistic Scenarios – Task 3.3
Leader:<\/em> Pericle Perazzo<\/a><\/p>\n<\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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WP2:<\/strong> Audio\/Video Deepfake – Task 2.4
Leader:<\/em> Stefano Tubaro<\/a>
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WP4:<\/strong> Authentication of Devices for the Acquisition
and Processing of Content – Study of cryptographic
anti-fake signatures
Leader:<\/em> Mauro Barni<\/a><\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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WP4:<\/strong> Active Authentication
Leader: <\/em>Roberto Caldelli<\/a><\/p>\n<\/div><\/div>\n\n\n\n

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WP2:<\/strong> Passive Deepfake Authentication Methods
Leader:<\/em> Gian Luca Marcialis<\/a><\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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WP1<\/strong>: Deepfake Attribution – Task 1.2
Leader:<\/em> Sebastiano Battiato<\/a><\/p>\n<\/div><\/div>\n\n\n\n

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The creation-diffusion of fake multimedia content, whether entirely computer-synthesized or obtained by manipulating original content, can be considered a danger to many aspects of our society. The overall phenomenon has reached unprecedented levels, thanks to the availability of artificial intelligence tools dedicated to generating fake content almost indistinguishable from real ones in a relatively simple way. Fighting so-called deepfakes, videos, images and audio clips, generated with deep learning techniques, requires the development of appropriate countermeasures. The project aims to develop theoretical and practical tools to detect fake or counterfeited content, trace back to its origin, and limit its diffusion, through passive analysis techniques operating when the content is used or diffused, and active protection methods to be adopted at the time of content creation, to facilitate subsequent authentication.<\/p>\n<\/blockquote>\n<\/blockquote>\n\n\n\n

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PARTNERS WP1: Deepfake Attribution and Recognition – Task 1.1 WP3: Deepfakes Detection Method on Realistic Scenarios – Task 3.3 Leader: Pericle Perazzo WP2: Audio\/Video Deepfake – Task 2.4Leader: Stefano Tubaro WP4: Authentication of Devices for the Acquisition and Processing of Content – Study of cryptographic anti-fake signatures Leader: Mauro Barni WP4: Active Authentication Leader: Roberto… Leggi tutto »<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"class_list":["post-4","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.unica.it\/ff4all\/wp-json\/wp\/v2\/pages\/4","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.unica.it\/ff4all\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.unica.it\/ff4all\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.unica.it\/ff4all\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.unica.it\/ff4all\/wp-json\/wp\/v2\/comments?post=4"}],"version-history":[{"count":36,"href":"https:\/\/sites.unica.it\/ff4all\/wp-json\/wp\/v2\/pages\/4\/revisions"}],"predecessor-version":[{"id":419,"href":"https:\/\/sites.unica.it\/ff4all\/wp-json\/wp\/v2\/pages\/4\/revisions\/419"}],"wp:attachment":[{"href":"https:\/\/sites.unica.it\/ff4all\/wp-json\/wp\/v2\/media?parent=4"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}