Work

Privacy-Aware Document Visual Question Answering

Year: 2024

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-031-70552-6_12

Authors: Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Joonas Jälkö, Vincent Poulain D’Andecy, Aurelie Joseph, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas

Institutions: Universitat Autònoma de Barcelona, Computer Vision Center, University of Helsinki, Helmholtz Center for Information Security, Institut national de recherche en sciences et technologies du numérique

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: European Commission, China Scholarship Council, Finnish Center for Artificial Intelligence, HORIZON EUROPE Framework Programme, Strategic Research Council, Agencia Estatal de Investigación

Awards: G1175115578, G210041235, G2262748287, G2601397997, G300979063, G3407967043, G34346518, G3480869486, European Lighthouse on Secure and Safe AI, G3681454997, G4042783231, G425668148, G5080475149, G5195188938, G7084143925, G7961519653, G8118709007

OpenAlex ID: W4402397232

FWCI: 1.934

Cites: 73

Cited by: 8

Related to: 10