An End-To-End Framework to Classify and Generate Privacy-Preserving Explanations in Pornography Detection

AuthID
P-017-Y6J
4
Author(s)
Vieira, M
·
16
Editor(s)
Boutros,F;Fraunhofer IGD, Fraunhoferstrasse 5, Darmstadt;Damer,N;Fraunhofer IGD, Fraunhoferstrasse 5, Darmstadt;Fang,M;Yangzhou University, 99XQ+JXJ, Hanjiang District, Yangzhou;Gomez Barrero,M;Universitat der Bundeswehr Munchen, FI CODE, Carl Wery Str 22, Munchen;Raja,K;Norwegian University of Science and Technology (NTNU), Teknologivegen 22, Gjovik;Rathgeb,C;Hochschule Darmstadt, Haardtring 100, Darmstadt;Sequeira,AF;INESC TEC, Campus da Feup, Rua Dr Roberto Frias, Porto;Todisco,M;EURECOM, Sophia Antipolis, 450 route des Chappes, Biot
Document Type
Proceedings Paper
Year published
2024
Published
in BIOSIG 2024 - Proceedings of the 23rd International Conference of the Biometrics Special Interest Group
Pages: 1-6
Conference
23Rd International Conference of the Biometrics Special Interest Group, Biosig 2024, Date: 25 September 2024 through 27 September 2024, Location: Darmstadt
Indexing
Publication Identifiers
Scopus: 2-s2.0-85217281185
Export Publication Metadata
Marked List
Info
At this moment we don't have any links to full text documens.