Swapped face detection using deep learning and subjective assessment

The tremendous success of deep learning for imaging applications has resulted in numerous beneficial advances. Unfortunately, this success has also been a catalyst for malicious uses such as photo-realistic face swapping of parties without consent. In this study, we use deep transfer learning for fa...

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Vydané v:	EURASIP Journal on Information Security Ročník 2020; číslo 1; s. 1 - 12
Hlavní autori:	Ding, Xinyi, Raziei, Zohreh, Larson, Eric C., Olinick, Eli V., Krueger, Paul, Hahsler, Michael
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 19.05.2020 Springer Nature B.V SpringerOpen
Predmet:	Communications Engineering Datasets Deep learning Engineering Face recognition Face swapping False alarms Human performance Human subjects Image forensics Machine learning Networks Object recognition Privacy Security Science and Technology Signal,Image and Speech Processing Subjective assessment Systems and Data Security Websites Deep learning Image forensics Privacy Face swapping
ISSN:	2510-523X, 1687-4161, 2510-523X, 1687-417X
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