A review of deepfake techniques: architecture, detection, and datasets

Peter Edwards; Jean Christophe Nebel; Darrel Greenhill; Xing Liang

doi:10.1109/ACCESS.2024.3477257

A review of deepfake techniques: architecture, detection, and datasets

Kingston University

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	154718-154742
Journal	IEEE Access
Volume	12
DOIs	https://doi.org/10.1109/ACCESS.2024.3477257
Publication status	Published - 30 Oct 2024

Keywords

Computer science and informatics

Access to Document

10.1109/ACCESS.2024.3477257

https://doi.org/10.1109/ACCESS.2024.3477257

Deepfake Detection
Liang, X. (PI), Nebel, J.-C. (CoI), Greenhill, D. (CoI), Edwards, P. (Researcher) & Badr, N. (Researcher)
6/03/23 → …
Project: Research

Cite this

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title = "A review of deepfake techniques: architecture, detection, and datasets",

keywords = "Computer science and informatics",

author = "Peter Edwards and Nebel, \{Jean Christophe\} and Darrel Greenhill and Xing Liang",

year = "2024",

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day = "30",

doi = "10.1109/ACCESS.2024.3477257",

language = "English",

volume = "12",

pages = "154718--154742",

journal = "IEEE Access",

issn = "2169-3536",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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T1 - A review of deepfake techniques

T2 - architecture, detection, and datasets

AU - Edwards, Peter

AU - Nebel, Jean Christophe

AU - Greenhill, Darrel

AU - Liang, Xing

PY - 2024/10/30

Y1 - 2024/10/30

KW - Computer science and informatics

U2 - 10.1109/ACCESS.2024.3477257

DO - 10.1109/ACCESS.2024.3477257

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VL - 12

SP - 154718

EP - 154742

JO - IEEE Access

JF - IEEE Access

ER -

A review of deepfake techniques: architecture, detection, and datasets

Keywords

Access to Document

Projects

Deepfake Detection

Cite this