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 …
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 …
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 …
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
In deepfake detection, diverse compression methods employed by social media platforms
pose significant challenges due to varying compression rates. These variations hinder the …
pose significant challenges due to varying compression rates. These variations hinder the …
Robustness and generalizability of deepfake detection: A study with diffusion models
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 …
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 …
co-opted and lead to the severe trust issues. Despite the popularity of deepfake videos, very …
Spatiotemporal inconsistency learning for deepfake video detection
The rapid development of facial manipulation techniques has aroused public concerns in
recent years. Following the success of deep learning, existing methods always formulate …
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 …
new security challenges, while there have been few relevant research efforts: 1) There is no …
Multi-Task Self-Blended Images for Face Forgery Detection
Deepfake detection has attracted extensive attention due to widespread forged images on
social media. Recently, self-supervised learning (SSL) based Deepfake detection approaches …
social media. Recently, self-supervised learning (SSL) based Deepfake detection approaches …
Constructing spatio-temporal graphs for face forgery detection
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 …
security, thus, face forgery detection attracts a lot of attention. It is clear that both spatial …