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Capsule-Forensics: Using Capsule Networks to Detect Forged Images and Videos
[article]
2018
arXiv
pre-print
Preserved Fulltext
The method introduced in this paper uses a capsule network to detect various kinds of spoofs, from replay attacks using printed images or recorded videos to computer-generated videos using deep convolutional ...
Recent advances in media generation techniques have made it easier for attackers to create forged images and videos. ...
INTRODUCTION Forged images and videos can be used to bypass facial authentication and to create fake news media. ...
arXiv:1810.11215v1
fatcat:3tu2cbdvbzgojo3ufpwlh4jkk4
Capsule-forensics: Using Capsule Networks to Detect Forged Images and Videos
2019
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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The method introduced in this paper uses a capsule network to detect various kinds of spoofs, from replay attacks using printed images or recorded videos to computergenerated videos using deep convolutional ...
Recent advances in media generation techniques have made it easier for attackers to create forged images and videos. ...
INTRODUCTION Forged images and videos can be used to bypass facial authentication and to create fake news media. ...
doi:10.1109/icassp.2019.8682602
dblp:conf/icassp/NguyenYE19
fatcat:sw4kxd5w6bho3jczf3gkd6yp6q
Capsule-Forensics Networks for Deepfake Detection
[chapter]
2022
Advances in Computer Vision and Pattern Recognition
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The superiority of our "Capsule-Forensics" network is due to the use of a pretrained feature extractor, statistical pooling layers, and a dynamic routing algorithm. ...
This design enables the Capsule-Forensics network to outperform a CNN with a similar design and to be from 5 to 11 times smaller than a CNN with similar performance. ...
Acknowledgements This work was partially supported by JSPS KAKENHI Grants JP16H06302, JP18H04120, JP21H04907, JP20K23355, and JP21K18023 and by JST CREST Grants JPMJCR18A6 and JPMJCR20D3, including the ...
doi:10.1007/978-3-030-87664-7_13
fatcat:c7h2m2m6pngxfhephirxy3jl5u
Use of a Capsule Network to Detect Fake Images and Videos
[article]
2019
arXiv
pre-print
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In this paper, we introduce a capsule network that can detect various kinds of attacks, from presentation attacks using printed images and replayed videos to attacks using fake videos created using deep ...
In addition to their many beneficial applications in daily life and business, computer-generated/manipulated images and videos can be used for malicious purposes that violate security systems, privacy, ...
This research was supported by JSPS KAKENHI Grants JP16H06302 and JP18H04120 and by JST CREST Grant JP-MJCR18A6, Japan. ...
arXiv:1910.12467v2
fatcat:vgj5zrhbkjaqzifs7374xxj4fi
Detecting Deepfake-Forged Contents with Separable Convolutional Neural Network and Image Segmentation
[article]
2019
arXiv
pre-print
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The proposed solution reaches detection efficiency by using the recently proposed separable convolutional neural network (CNN) and image segmentation. ...
Recent advances in AI technology have made the forgery of digital images and videos easier, and it has become significantly more difficult to identify such forgeries. ...
Table 1 Capsule-Forensics [23] : Nguyen et al. proposed Capsule-Forensics to detect forged images. This architecture consists of two steps. ...
arXiv:1912.12184v1
fatcat:hfrvho3i65gwjnporxosdr3bp4
Supplementary Evidence: Towards Higher Levels of Assurance in Remote Identity Proofing
[article]
2022
figshare.com
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Capsule Forensics [19] Leverages capsule networks for detection of a wide variety of forged images and videos -i.e., face-swapping and re-enactment 81-99% Low accuracy for facial reenactment detection ...
Face Swapping and Reenactment (Videos) FSGAN [4] Leverages GAN and RNN to swap source face in a target video or perform reenactment where a target video is used to control expressions of the source image ...
doi:10.6084/m9.figshare.19119680.v2
fatcat:ijki7jkshzbrfhk7ufsfuh2ri4
From Auto-encoders to Capsule Networks: A Survey
2021
E3S Web of Conferences
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Capsule Networks (CapsNets) were introduced to overcome these limitations by extracting features and their pose using capsules instead of neurons. ...
Convolutional Neural Networks are a very powerful Deep Learning algorithm used in image processing, object classification and segmentation. ...
Capsule
Networks to
Detect Forged
Images and
Videos (Nguyen
et al., 2019)
CAPSULE-
FORENSICS
Spoofs detection
Has the best
performance and
accuracy at frame
level and video level
dataset. ...
doi:10.1051/e3sconf/202122901048
fatcat:2kbpawcl5bfozivfx5fo6nssuq
The Deepfake Challenges and Deepfake Video Detection
2020
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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This paper aims to investigate deepfake challenges, and to detect deepfake videos by using eye blinking. Deepfake detections are methods to detect real or deepfake images and videos on social media. ...
Deepfake detection techniques are needed original and fake images or video datasets to train the detection models. ...
features and capsule forensics [9] - [13] . ...
doi:10.35940/ijitee.e2779.049620
fatcat:zmva3wgx4zafxoxeoloo6e3t5u
Deep Insights of Deepfake Technology : A Review
2020
Zenodo
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Although it seems interesting techniques to make fake videos or image of something or some individuals but it could spread as misinformation via internet. ...
We have also examined several creation and detection techniques. Our study revealed that although Deepfake is a threat to our societies, proper measures and strict regulations could prevent this. ...
Binary Classifier based fake video detection Huy H. Nguyen et al. [77] proposed capsule network based system to detect forged videos and images using the concepts of Capsule networks. ...
doi:10.5281/zenodo.4731421
fatcat:l75l43uwdvbndlb3kbg6qtjgwe
From Auto-encoders to Capsule Networks: A Survey
2021
E3S Web of Conferences
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Capsule Networks(CapsNets) were introduced to overcome these limitations by extracting features and their pose using capsules instead of neurons. ...
Convolutional Neural Networks are a very powerful Deep Learning structure used in image processing, object classification and segmentation. ...
Furthermore, the RBA algorithm used improves detection performance on complex and almostperfectly forged images and videos. ...
doi:10.1051/e3sconf/202122901003
fatcat:m4nvj6fsmbezzijcec4sywsege
Deep Learning for Deepfakes Creation and Detection: A Survey
[article]
2022
arXiv
pre-print
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Deepfake algorithms can create fake images and videos that humans cannot distinguish them from authentic ones. ...
This paper presents a survey of algorithms used to create deepfakes and, more importantly, methods proposed to detect deepfakes in the literature to date. ...
[123] proposed the use of capsule networks for detecting manipulated images and videos. ...
arXiv:1909.11573v4
fatcat:wbxcljyajnalfednnddyyndxfe
Detection and Localization of Facial Expression Manipulations
[article]
2021
arXiv
pre-print
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Concern regarding the wide-spread use of fraudulent images/videos in social media necessitates precise detection of such fraud. ...
To address this problem, we propose a framework that is able to detect manipulations in facial expression using a close combination of facial expression recognition and image manipulation methods. ...
They use standard CNN network architectures to train the model. • Capsule-Forensics [62] presents a method that uses a capsule network to detect forged images and videos. • Face X-ray [63] proposes ...
arXiv:2103.08134v1
fatcat:hbhkuv6dibbgpnsor6mia5bepi
Detecting Deepfakes with Metric Learning
[article]
2020
arXiv
pre-print
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Using less number of frames per video to assess its realism, the metric learning approach using a triplet network architecture proves to be fruitful. ...
It learns to enhance the feature space distance between the cluster of real and fake videos embedding vectors. ...
Capsule Forensics uses a dynamic routing algorithm to generate an activation map where the face has been manipulated. ...
arXiv:2003.08645v1
fatcat:ebybytxtarai3d6tc6uc6heovm
A Survey on Deepfake Video Detection
2021
IET Biometrics
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These videos are often used to damage the reputation of celebrities and guide public opinion, greatly threatening social stability. ...
This review aims to demonstrate the current research status of deepfake video detection, especially, generation process, several detection methods and existing benchmarks. ...
F I G U R E 5 Capsule-forensics architecture. ...
doi:10.1049/bme2.12031
fatcat:cdwx3jw6ajczplw7le6jsl5wy4
Deepfake Forensics, an AI-synthesized Detection with Deep Convolutional Generative Adversarial Networks
2020
International Journal of Advanced Trends in Computer Science and Engineering
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GANs have been widely studied since it was first proposed, and many applications have been produced to generate contents such as videos and images. ...
Recently, artificial intelligence, deep learning and Generative Adversarial Networks (GANs) adaptabilities for deepfake detection and forensics have become an emerging field of research interest. ...
Figure 10 : 10 Figure 10: Detecting Deepfake Eyes and Teeth.
Figure 11 : 11 Figure 11: Architecture of Capsule-Forensics. ...
doi:10.30534/ijatcse/2020/58932020
fatcat:o3wnwepkx5dwvpdg5asnxzzo5q
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