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A Review of Deep Learning-based Approaches for Deepfake Content
  Detection

A Review of Deep Learning-based Approaches for Deepfake Content Detection

12 February 2022
L. A. Passos
D. Jodas
K. Costa
Luis A. Souza Júnior
Douglas Rodrigues
Javier Del Ser
Danilo Colombo
João Paulo Papa
    AAML
ArXivPDFHTML

Papers citing "A Review of Deep Learning-based Approaches for Deepfake Content Detection"

14 / 14 papers shown
Title
Watermarking for AI Content Detection: A Review on Text, Visual, and Audio Modalities
Watermarking for AI Content Detection: A Review on Text, Visual, and Audio Modalities
Lele Cao
41
0
0
02 Apr 2025
Deep Learning Technology for Face Forgery Detection: A Survey
Deep Learning Technology for Face Forgery Detection: A Survey
Lixia Ma
Puning Yang
Yuting Xu
Ziming Yang
Peipei Li
Huaibo Huang
45
1
0
22 Sep 2024
Exploring outlooks towards generative AI-based assistive technologies
  for people with Autism
Exploring outlooks towards generative AI-based assistive technologies for people with Autism
Deepak Giri
Erin L. Brady
16
9
0
16 May 2023
Undercover Deepfakes: Detecting Fake Segments in Videos
Undercover Deepfakes: Detecting Fake Segments in Videos
Sanjay Saha
Rashindrie Perera
Sachith Seneviratne
T. Malepathirana
Sanka Rasnayaka
Deshani Geethika
Terence Sim
Saman K. Halgamuge
DiffM
22
7
0
11 May 2023
Avatar Fingerprinting for Authorized Use of Synthetic Talking-Head
  Videos
Avatar Fingerprinting for Authorized Use of Synthetic Talking-Head Videos
Ekta Prashnani
Koki Nagano
Shalini De Mello
D. Luebke
Orazio Gallo
31
2
0
05 May 2023
Connecting the Dots in Trustworthy Artificial Intelligence: From AI
  Principles, Ethics, and Key Requirements to Responsible AI Systems and
  Regulation
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation
Natalia Díaz Rodríguez
Javier Del Ser
Mark Coeckelbergh
Marcos López de Prado
E. Herrera-Viedma
Francisco Herrera
XAI
27
264
0
02 May 2023
Deep Convolutional Pooling Transformer for Deepfake Detection
Deep Convolutional Pooling Transformer for Deepfake Detection
Tianyi Wang
Harry Cheng
Kam-pui Chow
Liqiang Nie
ViT
27
66
0
12 Sep 2022
Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake
  Image Detection
Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection
D. Coccomini
R. Caldelli
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
ViT
96
30
0
28 Jun 2022
Misleading Deep-Fake Detection with GAN Fingerprints
Misleading Deep-Fake Detection with GAN Fingerprints
Vera Wesselkamp
Konrad Rieck
Dan Arp
Erwin Quiring
AAML
28
8
0
25 May 2022
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and
  Deploying in the Wild
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild
Spyridon Baxevanakis
Giorgos Kordopatis-Zilos
Panagiotis Galopoulos
Lazaros Apostolidis
Killian Levacher
Ipek B. Schlicht
Denis Teyssou
I. Kompatsiaris
Symeon Papadopoulos
42
8
0
27 Apr 2022
GAN-generated Faces Detection: A Survey and New Perspectives
GAN-generated Faces Detection: A Survey and New Perspectives
Xin Wang
Hui Guo
Shu Hu
Ming-Ching Chang
Siwei Lyu
CVBM
24
63
0
15 Feb 2022
M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection
M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection
Junke Wang
Zuxuan Wu
Wenhao Ouyang
Xintong Han
Jingjing Chen
Ser-Nam Lim
Yu-Gang Jiang
ViT
107
257
0
20 Apr 2021
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection
Bojia Zi
Minghao Chang
Jingjing Chen
Xingjun Ma
Yu-Gang Jiang
CVBM
82
374
0
05 Jan 2021
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Yuezun Li
Xin Yang
Pu Sun
H. Qi
Siwei Lyu
146
1,046
0
27 Sep 2019
1