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A lightweight 3D convolutional neural network for deepfake detection

https://doi.org/10.1002/int.22499
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/int.20160openalex-snapshot
Video summaries generation and access via personalized delivery of multimedia presentations adapted to service and terminal
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PrivateDL: Privacy‐preserving collaborative deep learning against leakage from gradient sharing
inferredcites →https://doi.org/10.1002/int.22261openalex-snapshot
Private rank aggregation under local differential privacy
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Privacy‐aware PKI model with strong forward security
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Video frame interpolation via optical flow estimation with image inpainting
inferredcites →https://doi.org/10.1002/int.22356openalex-snapshot
Privacy preservation for image data: A GAN‐based method
inferredcites →https://doi.org/10.1002/int.22370openalex-snapshot
A dual‐stage attention‐based Conv‐LSTM network for spatio‐temporal correlation and multivariate time series prediction
inferredcites →https://doi.org/10.1002/int.22371openalex-snapshot
A two‐stage privacy protection mechanism based on blockchain in mobile crowdsourcing
inferredcites →https://doi.org/10.1002/int.22372openalex-snapshot
Fighting fire with fire: A spatial–frequency ensemble relation network with generative adversarial learning for adversarial image classification
inferredcites →https://doi.org/10.1007/978-3-642-01793-3_21openalex-snapshot
Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference
inferredcites →https://doi.org/10.1016/j.inffus.2020.06.014openalex-snapshot
Deepfakes and beyond: A Survey of face manipulation and fake detection
inferredcites →https://doi.org/10.1109/avss.2018.8639163openalex-snapshot
Deepfake Video Detection Using Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/btas46853.2019.9185974openalex-snapshot
Multi-task Learning for Detecting and Segmenting Manipulated Facial Images and Videos
inferredcites →https://doi.org/10.1109/cscloud-edgecom49738.2020.00021openalex-snapshot
DeepfakeStack: A Deep Ensemble-based Learning Technique for Deepfake Detection
inferredcites →https://doi.org/10.1109/cvpr.2016.262openalex-snapshot
Face2Face: Real-Time Face Capture and Reenactment of RGB Videos
inferredcites →https://doi.org/10.1109/cvpr.2017.195openalex-snapshot
Xception: Deep Learning with Depthwise Separable Convolutions
inferredcites →https://doi.org/10.1109/cvpr.2017.502openalex-snapshot
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
inferredcites →https://doi.org/10.1109/cvpr.2018.00675openalex-snapshot
A Closer Look at Spatiotemporal Convolutions for Action Recognition
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00327openalex-snapshot
Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00505openalex-snapshot
Face X-Ray for More General Face Forgery Detection
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00582openalex-snapshot
On the Detection of Digital Face Manipulation
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00336openalex-snapshot
OC-FakeDect: Classifying Deepfakes Using One-class Variational Autoencoder
inferredcites →https://doi.org/10.1109/fg47880.2020.00089openalex-snapshot
A video is worth more than 1000 lies. Comparing 3DCNN approaches for detecting deepfakes
inferredcites →https://doi.org/10.1109/icassp.2019.8682602openalex-snapshot
Capsule-forensics: Using Capsule Networks to Detect Forged Images and Videos
inferredcites →https://doi.org/10.1109/iccv.2019.00009openalex-snapshot
FaceForensics++: Learning to Detect Manipulated Facial Images
inferredcites →https://doi.org/10.1109/iccvw.2017.373openalex-snapshot
Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition
inferredcites →https://doi.org/10.1109/icip40778.2020.9190655openalex-snapshot
Fake Video Detection With Certainty-Based Attention Network
inferredcites →https://doi.org/10.1109/icme46284.2020.9102914openalex-snapshot
FSSPOTTER: Spotting Face-Swapped Video by Spatial and Temporal Clues
inferredcites →https://doi.org/10.1109/tpami.2012.59openalex-snapshot
3D Convolutional Neural Networks for Human Action Recognition
inferredcites →https://doi.org/10.1109/wacvw.2019.00020openalex-snapshot
Exploiting Visual Artifacts to Expose Deepfakes and Face Manipulations
inferredcites →https://doi.org/10.1109/wifs.2018.8630761openalex-snapshot
MesoNet: a Compact Facial Video Forgery Detection Network
inferredcites →https://doi.org/10.1145/3082031.3083247openalex-snapshot
Recasting Residual-based Local Descriptors as Convolutional Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1610.02357openalex-snapshot
Xception: Deep Learning with Depthwise Separable Convolutions
inferredcites →https://doi.org/10.48550/arxiv.1811.00656openalex-snapshot
Exposing DeepFake Videos By Detecting Face Warping Artifacts
inferredcites →https://doi.org/10.5555/1577069.1755843openalex-snapshot
Dlib-ml: A Machine Learning Toolkit

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Inequality distance hyperplane multiclass support vector machines
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Document images forgery localization using a two‐stream network
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Attention‐guided transformation‐invariant attack for black‐box adversarial examples
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PR‐NET: Progressively‐refined neural network for image manipulation localization
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MC‐Net: Learning mutually‐complementary features for image manipulation localization
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Progressive selection‐channel networks for image steganalysis
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Interpolation graph convolutional network for 3D point cloud analysis
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Lightweight Deepfake Detection Using Transfer Learning and Swarm-Based Optimization
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A Real-Time Face Swap Detection Model for Video Chatting Scams
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Analysis on DeepFake Dataset, Manipulation and Detection Techniques: A Review
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Deepfake source detection in a heart beat
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Deepfake video detection: challenges and opportunities
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TAN-GFD: generalizing face forgery detection based on texture information and adaptive noise mining
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Three-dimensional convolutional neural network with channel compression module for efficient diagnosis of thyroid-associated orbitopathy
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A Novel Blockchain-Based Deepfake Detection Method Using Federated and Deep Learning Models
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DeepFake Videos Detection Using Crowd Computing
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Deep-fake detection of digital misinformation over social media: a comprehensive review
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A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain
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DeepFake video detection: Insights into model generalisation — A Systematic review
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Lightweight sign language intelligent recognition model based on improved R-C3D
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DMFF-Net: Double-stream multilevel feature fusion network for image forgery localization
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HolisticDFD: Infusing spatiotemporal transformer embeddings for deepfake detection
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Contrastive Learning based Multi-task Network for Image Manipulation Detection
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The analysis of art design under improved convolutional neural network based on the Internet of Things technology
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DeepFake detection against adversarial examples based on D‐VAEGAN
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A systematic literature review on the effectiveness of deepfake detection techniques
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TFD-Video: Threshold-Aware Federated Deepfake Detection for Video Forensics
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Detecting Deepfake Videos Dilemma Revisited: Finding Gaps and Shortcomings
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A Survey on Deepfake Detection Techniques for Watermarking and Digital Forensics Using Deep Learning
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A Review on the Detection of Deep Fake and Propaganda Videos and Images-based Voice and Facial Manipulation using AI Techniques
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Analysis of Psychomotor Ability Evaluation Method Based on Lightweight Convolutional Neural Networks
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Unmasking Deepfakes - Harnessing the Potential of 2D and 3D Convolutional Neural Network Ensembles
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Spatiotemporal Inconsistency Learning and Interactive Fusion for Deepfake Video Detection
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Continuous Use Intention of Mobile Social Network Information Service Based on User Behavior Perception
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Recent Advancements in the Field of Deepfake Detection
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