Model-agnostic Method: Exposing Deepfake using Pixel-wise Spatial and Temporal Fingerprints

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/27053

Title:	Model-agnostic Method: Exposing Deepfake using Pixel-wise Spatial and Temporal Fingerprints
Authors:	Yang, J Sun, Y Mao, M Bai, L Zhang, S Wang, F
Keywords:	deepfake detection;photoplethysmography (PPG);auto-regressive (AR);temporal and spatial;fingerprint;deep learning
Issue Date:	8-Jun-2023
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Citation:	Yang, J. et al. (2023) 'Model-agnostic Method: Exposing Deepfake using Pixel-wise Spatial and Temporal Fingerprints', IEEE Transactions on Big Data, 9 (6), pp. 1496 - 1509. doi: 10.1109/tbdata.2023.3284272.
URI:	https://bura.brunel.ac.uk/handle/2438/27053
DOI:	https://doi.org/10.1109/tbdata.2023.3284272
Other Identifiers:	ORCID iDs: Jun Yang https://orcid.org/0000-0002-2124-0869; Yaoru Sun https://orcid.org/0000-0002-2179-0713; Fang Wang https://orcid.org/0000-0003-1987-9150.
Appears in Collections:	Dept of Computer Science Research Papers

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