Two-branch recurrent network for isolating deepfakes in videos

I Masi, A Killekar, RM Mascarenhas… - Computer Vision–ECCV …, 2020 - Springer
The current spike of hyper-realistic faces artificially generated using deepfakes calls for
media forensics solutions that are tailored to video streams and work reliably with a low false …

[BOOK][B] Mauritius: Rodrigues. Reunion

A Richards - 2016 - books.google.com
… I would like to take this opportunity to acknowledge Royston Ellis and Derek Schuurman,
who were responsible for the first four editions of the guidebook, which began life as a guide to …

[PDF][PDF] Julius Gillis, Royal Dental Hospital; Arthur Donald Gregg, Uni

TC Woodhouse - scholar.archive.org
DPH Cantab., medical assistant in the public health department, be promoted to fill the
position of medical assistant, at the commencing-salary of £ 500 a year, rising by annual …

[PDF][PDF] Prompt-guided Multi-modal contrastive learning for Cross-compression-rate Deepfake Detection

CY Lai, CT Hsu, CW Lin, CC Hsu - 2024 - bmva-archive.org.uk
In deepfake detection, diverse compression methods employed by social media platforms
pose significant challenges due to varying compression rates. These variations hinder the …

Robustness and generalizability of deepfake detection: A study with diffusion models

H Song, S Huang, Y Dong, WW Tu - arXiv preprint arXiv:2309.02218, 2023 - arxiv.org
The rise of deepfake images, especially of well-known personalities, poses a serious threat
to the dissemination of authentic information. To tackle this, we present a thorough …

Deepfake Detection through Temporal Attention

HF Wu, CY Hsu, CH Lin, CM Yu… - 2024 33rd Wireless and …, 2024 - ieeexplore.ieee.org
Deepfake detection becomes necessary because Deep-fakes allow anyone's image to be
co-opted and lead to the severe trust issues. Despite the popularity of deepfake videos, very …

Spatiotemporal inconsistency learning for deepfake video detection

Z Gu, Y Chen, T Yao, S Ding, J Li, F Huang… - Proceedings of the 29th …, 2021 - dl.acm.org
The rapid development of facial manipulation techniques has aroused public concerns in
recent years. Following the success of deep learning, existing methods always formulate …

DeCoF: Generated Video Detection via Frame Consistency: The First Benchmark Dataset

L Ma, J Zhang, H Deng, N Zhang, Q Guo, H Yu… - arXiv preprint arXiv …, 2024 - arxiv.org
The escalating quality of video generated by advanced video generation methods results in
new security challenges, while there have been few relevant research efforts: 1) There is no …

Multi-Task Self-Blended Images for Face Forgery Detection

PH Huang, YH Han, E Chu, JC Chen… - Proceedings of the 5th …, 2023 - dl.acm.org
Deepfake detection has attracted extensive attention due to widespread forged images on
social media. Recently, self-supervised learning (SSL) based Deepfake detection approaches …

Constructing spatio-temporal graphs for face forgery detection

Z Shang, H Xie, L Yu, Z Zha, Y Zhang - ACM Transactions on the Web, 2023 - dl.acm.org
Recently, advanced development of facial manipulation techniques threatens web information
security, thus, face forgery detection attracts a lot of attention. It is clear that both spatial …