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

12 February 2022

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

8 / 8 papers shown

Title
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 27 100 0 02 May 2023
Deep Convolutional Pooling Transformer for Deepfake Detection Tianyi Wang Harry Cheng Kam-pui Chow Liqiang Nie ViT 16 65 0 12 Sep 2022
Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection D. Coccomini R. Caldelli Fabrizio Falchi Claudio Gennaro Giuseppe Amato ViT 45 29 0 28 Jun 2022
Misleading Deep-Fake Detection with GAN Fingerprints Vera Wesselkamp Konrad Rieck Dan Arp Erwin Quiring AAML 15 8 0 25 May 2022
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 22 8 0 27 Apr 2022
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 100 254 0 20 Apr 2021
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection Bojia Zi Minghao Chang Jingjing Chen Xingjun Ma Yu-Gang Jiang CVBM 80 365 0 05 Jan 2021
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics Yuezun Li Xin Yang Pu Sun H. Qi Siwei Lyu 127 1,018 0 27 Sep 2019