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Dynamic-Aware Federated Learning for Face Forgery Video Detection
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-58571-6_39openalex-snapshot
Two-Branch Recurrent Network for Isolating Deepfakes in Videos
inferredcites →https://doi.org/10.1007/978-3-030-58610-2_6openalex-snapshot
Thinking in Frequency: Face Forgery Detection by Mining Frequency-Aware Clues
inferredcites →https://doi.org/10.1007/978-3-658-40442-0_9openalex-snapshot
Generative Adversarial Nets
inferredcites →https://doi.org/10.1016/j.ins.2021.05.006openalex-snapshot
Locally GAN-generated face detection based on an improved Xception
inferredcites →https://doi.org/10.1016/j.patcog.2021.107950openalex-snapshot
PRRNet: Pixel-Region relation network for face forgery 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/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.195openalex-snapshot
Xception: Deep Learning with Depthwise Separable Convolutions
inferredcites →https://doi.org/10.1109/cvpr.2018.00916openalex-snapshot
StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation
inferredcites →https://doi.org/10.1109/cvpr.2019.00453openalex-snapshot
A Style-Based Generator Architecture for Generative Adversarial Networks
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/cvpr42600.2020.00525openalex-snapshot
RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00791openalex-snapshot
Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01177openalex-snapshot
ContourNet: Taking a Further Step Toward Accurate Arbitrary-Shaped Scene Text Detection
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00500openalex-snapshot
Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00639openalex-snapshot
Frequency-aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01605openalex-snapshot
Generalizing Face Forgery Detection with High-frequency Features
inferredcites →https://doi.org/10.1109/cvprw.2017.229openalex-snapshot
Two-Stream Neural Networks for Tampered Face Detection
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/icassp.2019.8683164openalex-snapshot
Exposing Deep Fakes Using Inconsistent Head Poses
inferredcites →https://doi.org/10.1109/iccv.2017.244openalex-snapshot
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
inferredcites →https://doi.org/10.1109/iccv.2017.397openalex-snapshot
Fast Face-Swap Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/iccv.2017.74openalex-snapshot
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
inferredcites →https://doi.org/10.1109/iccv.2019.00009openalex-snapshot
FaceForensics++: Learning to Detect Manipulated Facial Images
inferredcites →https://doi.org/10.1109/iccvw.2019.00152openalex-snapshot
Deepfake Video Detection through Optical Flow Based CNN
inferredcites →https://doi.org/10.1109/icdm.2019.00089openalex-snapshot
Mining Audio, Text and Visual Information for Talking Face Generation
inferredcites →https://doi.org/10.1109/taffc.2022.3143100openalex-snapshot
An Overview of Facial Micro-Expression Analysis: Data, Methodology and Challenge
inferredcites →https://doi.org/10.1109/tc.2021.3057082openalex-snapshot
Lime: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks
inferredcites →https://doi.org/10.1109/tcsvt.2020.2973374openalex-snapshot
Multimodal Inputs Driven Talking Face Generation With Spatial–Temporal Dependency
inferredcites →https://doi.org/10.1109/tcsvt.2020.2984569openalex-snapshot
A Real-Time Action Representation With Temporal Encoding and Deep Compression
inferredcites →https://doi.org/10.1109/tifs.2012.2190402openalex-snapshot
Rich Models for Steganalysis of Digital Images
inferredcites →https://doi.org/10.1109/tifs.2020.2988575openalex-snapshot
Federated Learning With Differential Privacy: Algorithms and Performance Analysis
inferredcites →https://doi.org/10.1109/tii.2021.3113708openalex-snapshot
Privacy-Preserving Federated Depression Detection From Multisource Mobile Health Data
inferredcites →https://doi.org/10.1109/tip.2019.2916751openalex-snapshot
AttGAN: Facial Attribute Editing by Only Changing What You Want
inferredcites →https://doi.org/10.1109/tmm.2020.2990082openalex-snapshot
Hierarchical Soft Quantization for Skeleton-Based Human Action Recognition
inferredcites →https://doi.org/10.1109/tmm.2020.2995290openalex-snapshot
R-Net: A Relationship Network for Efficient and Accurate Scene Text Detection
inferredcites →https://doi.org/10.1109/tnnls.2021.3105617openalex-snapshot
Hawk: Rapid Android Malware Detection Through Heterogeneous Graph Attention Networks
inferredcites →https://doi.org/10.1109/wacv48630.2021.00202openalex-snapshot
Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes
inferredcites →https://doi.org/10.1109/wifs.2017.8267647openalex-snapshot
Distinguishing computer graphics from natural images using convolution neural networks
inferredcites →https://doi.org/10.1109/wifs47025.2019openalex-snapshot
2019 IEEE International Workshop on Information Forensics and Security (WIFS)
inferredcites →https://doi.org/10.1145/2909827.2930786openalex-snapshot
A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer
inferredcites →https://doi.org/10.1145/3082031.3083247openalex-snapshot
Recasting Residual-based Local Descriptors as Convolutional Neural Networks
inferredcites →https://doi.org/10.1145/3363818openalex-snapshot
Robust Fake News Detection Over Time and Attack
inferredcites →https://doi.org/10.1145/3394171.3414012openalex-snapshot
AU-assisted Graph Attention Convolutional Network for Micro-Expression Recognition
inferredcites →https://doi.org/10.1145/3394171.3414034openalex-snapshot
Sharp Multiple Instance Learning for DeepFake Video Detection
inferredcites →https://doi.org/10.1145/3447585openalex-snapshot
Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks
inferredcites →https://doi.org/10.1145/3459637.3482252openalex-snapshot
Differentially Private Federated Knowledge Graphs Embedding
inferredcites →https://doi.org/10.1145/3524497openalex-snapshot
Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective
inferredcites →https://doi.org/10.48550/arxiv.1611.06355openalex-snapshot
Invertible Conditional GANs for image editing
inferredcites →https://doi.org/10.48550/arxiv.1710.10196openalex-snapshot
Progressive Growing of GANs for Improved Quality, Stability, and Variation
inferredcites →https://doi.org/10.48550/arxiv.1811.00656openalex-snapshot
Exposing DeepFake Videos By Detecting Face Warping Artifacts
inferredcites →https://doi.org/10.48550/arxiv.1812.02510openalex-snapshot
ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection
inferredcites →https://doi.org/10.48550/arxiv.1906.09288openalex-snapshot
Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations
inferredcites →https://doi.org/10.48550/arxiv.1909.06335openalex-snapshot
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
inferredcites →https://doi.org/10.48550/arxiv.1910.05455openalex-snapshot
Complement Face Forensic Detection and Localization with FacialLandmarks
inferredcites →https://doi.org/10.48550/arxiv.1910.11089openalex-snapshot
Real-World Image Datasets for Federated Learning
inferredcites →https://doi.org/10.48550/arxiv.2007.07481openalex-snapshot
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-19821-2_29openalex-snapshot
Federated Self-supervised Learning for Video Understanding
inferred← citeshttps://doi.org/10.1007/s10044-026-01766-0openalex-snapshot
Towards federated learning for face recognition: a comprehensive review of secure and privacy-preserving techniques and prospective research
inferred← citeshttps://doi.org/10.1007/s11042-024-20012-5openalex-snapshot
Combating deepfakes: a comprehensive multilayer deepfake video detection framework
inferred← citeshttps://doi.org/10.1007/s11633-023-1444-6openalex-snapshot
Biometrics 2.0 for the Security of Smart Cities
inferred← citeshttps://doi.org/10.1007/s12559-026-10640-4openalex-snapshot
Cognitive-Inspired Multimodal Deepfake Detection Using Privacy-Preserving Federated Intelligence
inferred← citeshttps://doi.org/10.1049/cvi2.12292openalex-snapshot
Federated finger vein presentation attack detection for various clients
inferred← citeshttps://doi.org/10.1109/access.2026.3660914openalex-snapshot
TFD-Video: Threshold-Aware Federated Deepfake Detection for Video Forensics
inferred← citeshttps://doi.org/10.1109/tgrs.2025.3563183openalex-snapshot
Federated Learning-Enabled Self-Reconfigurable Satellites for Resident Space Objects Detection
inferred← citeshttps://doi.org/10.1109/thms.2025.3618409openalex-snapshot
AV-Lip-Sync+: Leveraging AV-HuBERT to Exploit Multimodal Inconsistency for Deepfake Detection of Frontal Face Videos
inferred← citeshttps://doi.org/10.1109/tifs.2026.3695433openalex-snapshot
Deepfake Detection via Exploring Degradation Inconsistency
inferred← citeshttps://doi.org/10.1109/tmm.2022.3197365openalex-snapshot
Facial Chirality: From Visual Self-Reflection to Robust Facial Feature Learning
inferred← citeshttps://doi.org/10.1109/tmm.2024.3453066openalex-snapshot
IEIRNet: Inconsistency Exploiting Based Identity Rectification for Face Forgery Detection
inferred← citeshttps://doi.org/10.1109/tsc.2025.3562359openalex-snapshot
Robust Federated Learning for Privacy Preservation and Efficiency in Edge Computing
inferred← citeshttps://doi.org/10.1145/3581783.3611984openalex-snapshot
Federated Learning with Label-Masking Distillation
inferred← citeshttps://doi.org/10.1145/3581783.3612215openalex-snapshot
High Fidelity Face Swapping via Semantics Disentanglement and Structure Enhancement
inferred← citeshttps://doi.org/10.1145/3581783.3612321openalex-snapshot
RAIRNet: Region-Aware Identity Rectification for Face Forgery Detection
inferred← citeshttps://doi.org/10.1145/3702232openalex-snapshot
AVENUE: A Novel Deepfake Detection Method Based on Temporal Convolutional Network and rPPG Information
inferred← citeshttps://doi.org/10.26599/bdma.2024.9020030openalex-snapshot
Local Region Frequency Guided Dynamic Inconsistency Network for Deepfake Video Detection
inferred← citeshttps://doi.org/10.32604/cmes.2022.020920openalex-snapshot
A Thorough Investigation on Image Forgery Detection
inferred← citeshttps://doi.org/10.3390/app132413286openalex-snapshot
Deep Q Network Based on a Fractional Political–Smart Flower Optimization Algorithm for Real-World Object Recognition in Federated Learning
inferred← citeshttps://doi.org/10.3390/fi17030128openalex-snapshot
GHEFL: Grouping Based on Homomorphic Encryption Validates Federated Learning
inferred← citeshttps://doi.org/10.3390/ijgi11090487openalex-snapshot
Road Intersection Recognition via Combining Classification Model and Clustering Algorithm Based on GPS Data
inferred← citeshttps://doi.org/10.52783/jes.2537openalex-snapshot
Dynamic Object Detection in Surveillance Videos using Temporal Convolutional Networks and Federated Learning in Edge Computing Environments
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