Sökning: onr:"swepub:oai:DiVA.org:hh-52592" > FIVA :
Fältnamn | Indikatorer | Metadata |
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000 | 02833naa a2200373 4500 | |
001 | oai:DiVA.org:hh-52592 | |
003 | SwePub | |
008 | 240208s2023 | |||||||||||000 ||eng| | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-525922 URI |
024 | 7 | a https://doi.org/10.1109/ICCVW60793.2023.000432 DOI |
040 | a (SwePub)hh | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a kon2 swepub-publicationtype |
100 | 1 | a Rosberg, Felixu Högskolan i Halmstad,Akademin för informationsteknologi,Berge Consulting, Gothenburg, Sweden4 aut |
245 | 1 0 | a FIVA :b Facial Image and Video Anonymization and Anonymization Defense |
264 | 1 | a Los Alamitos, CA :b IEEE,c 2023 |
338 | a print2 rdacarrier | |
520 | a In this paper, we present a new approach for facial anonymization in images and videos, abbreviated as FIVA. Our proposed method is able to maintain the same face anonymization consistently over frames with our suggested identity-tracking and guarantees a strong difference from the original face. FIVA allows for 0 true positives for a false acceptance rate of 0.001. Our work considers the important security issue of reconstruction attacks and investigates adversarial noise, uniform noise, and parameter noise to disrupt reconstruction attacks. In this regard, we apply different defense and protection methods against these privacy threats to demonstrate the scalability of FIVA. On top of this, we also show that reconstruction attack models can be used for detection of deep fakes. Last but not least, we provide experimental results showing how FIVA can even enable face swapping, which is purely trained on a single target image. © 2023 IEEE. | |
650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe |
650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Computer Sciences0 (SwePub)102012 hsv//eng |
653 | a Anonymization | |
653 | a Deep Fakes | |
653 | a Facial Recognition | |
653 | a Identity Tracking | |
653 | a Reconstruction Attacks | |
700 | 1 | a Aksoy, Eren,d 1982-u Högskolan i Halmstad,Akademin för informationsteknologi4 aut0 (Swepub:hh)ereaks |
700 | 1 | a Englund, Cristofer,d 1977-u Högskolan i Halmstad,Akademin för informationsteknologi4 aut0 (Swepub:hh)crieng |
700 | 1 | a Alonso-Fernandez, Fernando,d 1978-u Högskolan i Halmstad,Akademin för informationsteknologi4 aut0 (Swepub:hh)feralo |
710 | 2 | a Högskolan i Halmstadb Akademin för informationsteknologi4 org |
773 | 0 | t 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)d Los Alamitos, CA : IEEEg , s. 362-371q <362-371z 9798350307443 |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-52592 |
856 | 4 8 | u https://doi.org/10.1109/ICCVW60793.2023.00043 |
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