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An Enhanced Deep Learning-Based DeepFake Video Detection and Classification System

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1 of the 44 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1007/s13204-021-02072-3 (notice 2024-01-10).

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

inferredcites →https://doi.org/10.1007/978-3-030-78120-0_23openalex-snapshot
TAR: Generalized Forensic Framework to Detect Deepfakes Using Weakly Supervised Learning
inferredcites →https://doi.org/10.1007/978-3-031-10548-7_35openalex-snapshot
Augmented Intelligence Multilingual Conversational Service for Smart Enterprise Management Software
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/10.1007/s13204-021-02072-3openalex-snapshot
RETRACTED ARTICLE: Deepfake detection using rationale-augmented convolutional neural network
inferredcites →https://doi.org/10.1016/j.ecoinf.2022.101919openalex-snapshot
WilDect-YOLO: An efficient and robust computer vision-based accurate object localization model for automated endangered wildlife detection
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/10.1016/j.jvcir.2021.103119openalex-snapshot
Detecting facial manipulated videos based on set convolutional neural networks
inferredcites →https://doi.org/10.1016/j.neunet.2022.05.024openalex-snapshot
MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks
inferredcites →https://doi.org/10.1016/j.softx.2022.101115openalex-snapshot
DFT-MF: Enhanced deepfake detection using mouth movement and transfer learning
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/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/cvprw.2017.229openalex-snapshot
Two-Stream Neural Networks for Tampered Face Detection
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00342openalex-snapshot
Deepfakes Detection with Automatic Face Weighting
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/icb45273.2019.8987375openalex-snapshot
Vulnerability assessment and detection of Deepfake videos
inferredcites →https://doi.org/10.1109/icces.2018.8639198openalex-snapshot
Deep Learning Algorithms for Detecting Fake News in Online Text
inferredcites →https://doi.org/10.1109/iccv.2017.397openalex-snapshot
Fast Face-Swap Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/iccv.2019.00009openalex-snapshot
FaceForensics++: Learning to Detect Manipulated Facial Images
inferredcites →https://doi.org/10.1109/iccvw54120.2021.00421openalex-snapshot
Towards Solving the DeepFake Problem : An Analysis on Improving DeepFake Detection using Dynamic Face Augmentation
inferredcites →https://doi.org/10.1109/icip42928.2021.9506381openalex-snapshot
Deepfake Video Detection Using 3D-Attentional Inception Convolutional Neural Network
inferredcites →https://doi.org/10.1109/icspis51252.2020.9340138openalex-snapshot
Fighting Deepfake by Residual Noise Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/ijcnn48605.2020.9207034openalex-snapshot
Adversarial Perturbations Fool Deepfake Detectors
inferredcites →https://doi.org/10.1109/indicon49873.2020.9342252openalex-snapshot
Exposing DeepFakes Using Convolutional Neural Networks and Transfer Learning Approaches
inferredcites →https://doi.org/10.1109/iwbf49977.2020.9107962openalex-snapshot
Detecting Deepfakes with Metric Learning
inferredcites →https://doi.org/10.1109/tpami.2020.3009287openalex-snapshot
FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals
inferredcites →https://doi.org/10.1109/wifs.2018.8630761openalex-snapshot
MesoNet: a Compact Facial Video Forgery Detection Network
inferredcites →https://doi.org/10.1109/wifs.2018.8630787openalex-snapshot
In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking
inferredcites →https://doi.org/10.1145/3137597.3137600openalex-snapshot
Fake News Detection on Social Media
inferredcites →https://doi.org/10.1145/3319535.3363269openalex-snapshot
Poster
inferredcites →https://doi.org/10.1145/3366424.3382711openalex-snapshot
Fighting Against Deepfake: Patch&Pair Convolutional Neural Networks (PPCNN)
inferredcites →https://doi.org/10.1145/3394171.3414034openalex-snapshot
Sharp Multiple Instance Learning for DeepFake Video Detection
inferredcites →https://doi.org/10.1145/3422622openalex-snapshot
Generative adversarial networks
inferredcites →https://doi.org/10.17645/mac.v9i1.3494openalex-snapshot
Fighting Deepfakes: Media and Internet Giants’ Converging and Diverging Strategies Against Hi-Tech Misinformation
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.193openalex-snapshot
Neural Deepfake Detection with Factual Structure of Text
inferredcites →https://doi.org/10.21437/interspeech.2017-1111openalex-snapshot
The ASVspoof 2017 Challenge: Assessing the Limits of Replay Spoofing Attack Detection
inferredcites →https://doi.org/10.21437/odyssey.2018-28openalex-snapshot
The Voice Conversion Challenge 2018: Promoting Development of Parallel and Nonparallel Methods
inferredcites →https://doi.org/10.3390/app11167678openalex-snapshot
High Performance DeepFake Video Detection on CNN-Based with Attention Target-Specific Regions and Manual Distillation Extraction
inferredcites →https://doi.org/10.3390/e22020249openalex-snapshot
A Novel Counterfeit Feature Extraction Technique for Exposing Face-Swap Images Based on Deep Learning and Error Level Analysis
inferredcites →https://doi.org/10.3390/ecea-5-06684openalex-snapshot
Exposing Face-Swap Images Based on Deep Learning and ELA Detection
inferredcites →https://doi.org/10.3390/electronics11193109openalex-snapshot
Empirical Analysis of Data Streaming and Batch Learning Models for Network Intrusion Detection
inferredcites →https://doi.org/10.48550/arxiv.1905.11946openalex-snapshot
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
inferredcites →https://doi.org/10.5937/telfor2001022qopenalex-snapshot
DeepFake video production and SIFT-based analysis

What points at this work

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

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Crowd Anomaly Detection Using Convolution Neural Networks Enhanced with Hyper-Parameter Model
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Enhancing Audio Deepfake Detection: A Study of Deep Learning Parameters
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Definition of Metaverse in the Framework of Smart Healthcare System
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Deep Learning Classification Techniques for Video Tampering Detection: A Review
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Deepfake Generation and Detection: A Comprehensive Survey
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Multimodal Deepfake Detection: Audio Analysis with Librosa, Video Classification via CNN, and Image Verification Using Perceptual Hashing
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Enhancing Deep Fake Image Generation and Detection Through Transfer Learning
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FalsiDetect: A Federated Learning Framework for Generalizable Deepfake Detection Across Diverse Datasets
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Comprehensive Exploration of Deepfake Detection Using Deep Learning
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Deep fake detection using an optimal deep learning model with multi head attention-based feature extraction scheme
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RETRACTED ARTICLE: Evaluating the effectiveness of rationale-augmented convolutional neural networks for deepfake detection
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The future of misinformation control: integrating advanced algorithms and Blockchain for effective Deepfake detection
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A Novel Multi-modality Deepfake Detection Using Cross-Model Fusion–Based Hybrid Harris Whale Depth-Wise Separable Dense Convolutional Bi-GRU Deepfake Model
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An enhanced pyramid deep belief network architecture design and implementation for deepfake spotting using deep learning framework
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Fake Face2Face Video Detection Using a Novel Scene and Texture Based Feature Set
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Beyond Exposing of Deepfake Exposed: A Fusion of Object Detection and DenseNet for Superior Recognition
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Facial Region Analysis and Interpretability in Deepfake Detection: Advances and Open Challenges
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