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Capsule-Forensics: Using Capsule Networks to Detect Forged Images and Videos [article]

Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
2018 arXiv   pre-print
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

Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
2019 ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
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]

Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
2022 Advances in Computer Vision and Pattern Recognition  
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]

Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
2019 arXiv   pre-print
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]

Chia-Mu Yu, Ching-Tang Chang, Yen-Wu Ti
2019 arXiv   pre-print
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]

Jongkil Jeong, Syed Wajid Ali Shah, Ashish Nanda, Robin Doss
2022 figshare.com  
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

Omaima El Alaoui-Elfels, Taoufiq Gadi, S. Krit
2021 E3S Web of Conferences  
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  
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

Bahar Uddin Mahmud, Afsana Sharmin
2020 Zenodo  
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

Omaima El Alaoui-Elfels, Taoufiq Gadi, S. Krit
2021 E3S Web of Conferences  
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]

Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Dung Tien Nguyen, Duc Thanh Nguyen, Thien Huynh-The, Saeid Nahavandi, Thanh Tam Nguyen, Quoc-Viet Pham, Cuong M. Nguyen
2022 arXiv   pre-print
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]

Ghazal Mazaheri, Amit K. Roy-Chowdhury
2021 arXiv   pre-print
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]

Akash Kumar, Arnav Bhavsar
2020 arXiv   pre-print
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

Peipeng Yu, Zhihua Xia, Jianwei Fei, Yujiang Lu
2021 IET Biometrics  
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

Dafeng Gong
2020 International Journal of Advanced Trends in Computer Science and Engineering  
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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