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Deepfake Detection: A Comprehensive Survey from the Reliability Perspective
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Outgoing claims: the papers this work cites, builds on, or argues with.
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FDFtNet: Facing Off Fake Images Using Fake Detection Fine-Tuning Network
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Two-Branch Recurrent Network for Isolating Deepfakes in Videos
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Thinking in Frequency: Face Forgery Detection by Mining Frequency-Aware Clues
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DeepFakes Evolution: Analysis of Facial Regions and Fake Detection Performance
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Explaining Deepfake Detection by Analysing Image Matching
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Exploring Disentangled Content Information for Face Forgery Detection
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Facial Action Transfer with Personalized Bilinear Regression
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Comparison of four commercial, automated antigen tests to detect SARS-CoV-2 variants of concern
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DeepFake detection algorithm based on improved vision transformer
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New and Emerging Testing Technology for Efficacy and Safety E valuation of Personal Care Delivery Systems
inferredcites →https://doi.org/10.1016/j.bushor.2019.11.006openalex-snapshot
Deepfakes: Trick or treat?
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Fake face detection via adaptive manipulation traces extraction network
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Deepfake noise investigation and 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.patcog.2021.107950openalex-snapshot
PRRNet: Pixel-Region relation network for face forgery detection
inferredcites →https://doi.org/10.1016/j.patcog.2023.109628openalex-snapshot
Deepfacelab: Integrated, flexible and extensible face-swapping framework
inferredcites →https://doi.org/10.1038/s42256-019-0104-6openalex-snapshot
Adversarial explanations for understanding image classification decisions and improved neural network robustness
inferredcites →https://doi.org/10.1073/pnas.2120481119openalex-snapshot
AI-synthesized faces are indistinguishable from real faces and more trustworthy
inferredcites →https://doi.org/10.1109/access.2019.2949286openalex-snapshot
Black-Box vs. White-Box: Understanding Their Advantages and Weaknesses From a Practical Point of View
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DeepVision: Deepfakes Detection Using Human Eye Blinking Pattern
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Fighting Deepfake by Exposing the Convolutional Traces on Images
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.2017.243openalex-snapshot
Densely Connected Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2018.00689openalex-snapshot
Learning to Understand Image Blur
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Learning Transferable Architectures for Scalable Image Recognition
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.2019.00244openalex-snapshot
Semantic Image Synthesis With Spatially-Adaptive Normalization
inferredcites →https://doi.org/10.1109/cvpr.2019.00453openalex-snapshot
A Style-Based Generator Architecture for Generative Adversarial Networks
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ArcFace: Additive Angular Margin Loss for Deep Face Recognition
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00296openalex-snapshot
DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
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/cvpr42600.2020.00512openalex-snapshot
Advancing High Fidelity Identity Swapping for Forgery Detection
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On the Detection of Digital Face Manipulation
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CNN-Generated Images Are Surprisingly Easy to Spot… for Now
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Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain
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Multi-attentional Deepfake Detection
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Information Bottleneck Disentanglement for Identity Swapping
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Improving the Efficiency and Robustness of Deepfakes Detection through Precise Geometric Features
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One Shot Face Swapping on Megapixels
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/cvpr52688.2022.00407openalex-snapshot
Exploring Frequency Adversarial Attacks for Face Forgery Detection
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End-to-End Reconstruction-Classification Learning for Face Forgery Detection
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Robust Image Forgery Detection over Online Social Network Shared Images
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01453openalex-snapshot
Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01815openalex-snapshot
Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01816openalex-snapshot
Detecting Deepfakes with Self-Blended Images
inferredcites →https://doi.org/10.1109/cvprw.2017.229openalex-snapshot
Two-Stream Neural Networks for Tampered Face Detection
inferredcites →https://doi.org/10.1109/cvprw42357.2017openalex-snapshot
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00337openalex-snapshot
Evading Deepfake-Image Detectors with White- and Black-Box Attacks
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00341openalex-snapshot
DeepFake Detection by Analyzing Convolutional Traces
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/icassp40776.2020.9053969openalex-snapshot
SSTNet: Detecting Manipulated Faces Through Spatial, Steganalysis and Temporal Features
inferredcites →https://doi.org/10.1109/iccphot.2012.6215223openalex-snapshot
Exposing image splicing with inconsistent local noise variances
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.2019.00009openalex-snapshot
FaceForensics++: Learning to Detect Manipulated Facial Images
inferredcites →https://doi.org/10.1109/iccv.2019.00728openalex-snapshot
FSGAN: Subject Agnostic Face Swapping and Reenactment
inferredcites →https://doi.org/10.1109/iccv.2019.00955openalex-snapshot
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
inferredcites →https://doi.org/10.1109/iccv48922.2021.00042openalex-snapshot
Conformer: Local Features Coupling Global Representations for Visual Recognition
inferredcites →https://doi.org/10.1109/iccv48922.2021.00061openalex-snapshot
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
inferredcites →https://doi.org/10.1109/iccv48922.2021.00384openalex-snapshot
FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning
inferredcites →https://doi.org/10.1109/iccv48922.2021.00986openalex-snapshot
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
inferredcites →https://doi.org/10.1109/iccv48922.2021.01057openalex-snapshot
KoDF: A Large-scale Korean DeepFake Detection Dataset
inferredcites →https://doi.org/10.1109/iccv48922.2021.01475openalex-snapshot
Learning Self-Consistency for Deepfake Detection
inferredcites →https://doi.org/10.1109/iccvw.2019.00152openalex-snapshot
Deepfake Video Detection through Optical Flow Based CNN
inferredcites →https://doi.org/10.1109/icics49469.2020.239493openalex-snapshot
Forensics and Analysis of Deepfake Videos
inferredcites →https://doi.org/10.1109/icip.2014.7026073openalex-snapshot
Image forgery localization through the fusion of camera-based, feature-based and pixel-based techniques
inferredcites →https://doi.org/10.1109/icip40778.2020.9190892openalex-snapshot
Fake Generated Painting Detection Via Frequency Analysis
inferredcites →https://doi.org/10.1109/icpr48806.2021.9412711openalex-snapshot
Video Face Manipulation Detection Through Ensemble of CNNs
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inferredcites →https://doi.org/10.1109/ijcnn48605.2020.9207034openalex-snapshot
Adversarial Perturbations Fool Deepfake Detectors
inferredcites →https://doi.org/10.1109/tcsvt.2021.3074259openalex-snapshot
Detecting Compressed Deepfake Videos in Social Networks Using Frame-Temporality Two-Stream Convolutional Network
inferredcites →https://doi.org/10.1109/tcsvt.2022.3204753openalex-snapshot
SNIS: A Signal Noise Separation-Based Network for Post-Processed Image Forgery Detection
inferredcites →https://doi.org/10.1109/tifs.2006.873602openalex-snapshot
Digital Camera Identification From Sensor Pattern Noise
inferredcites →https://doi.org/10.1109/tifs.2012.2190402openalex-snapshot
Rich Models for Steganalysis of Digital Images
inferredcites →https://doi.org/10.1109/tifs.2012.2202227openalex-snapshot
Image Forgery Localization via Fine-Grained Analysis of CFA Artifacts
inferredcites →https://doi.org/10.1109/tifs.2016.2623589openalex-snapshot
Optimized 3D Lighting Environment Estimation for Image Forgery Detection
inferredcites →https://doi.org/10.1109/tifs.2017.2692683openalex-snapshot
A Theoretical Framework for Estimating False Acceptance Rate of PRNU-Based Camera Identification
inferredcites →https://doi.org/10.1109/tifs.2017.2701335openalex-snapshot
Blind PRNU-Based Image Clustering for Source Identification
inferredcites →https://doi.org/10.1109/tifs.2019.2916364openalex-snapshot
Noiseprint: A CNN-Based Camera Model Fingerprint
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Robust Image Forgery Detection Against Transmission Over Online Social Networks
inferredcites →https://doi.org/10.1109/tifs.2022.3146766openalex-snapshot
ForgeryNIR: Deep Face Forgery and Detection in Near-Infrared Scenario
inferredcites →https://doi.org/10.1109/tip.2017.2662206openalex-snapshot
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
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Exposing Deepfake Face Forgeries With Guided Residuals
inferredcites →https://doi.org/10.1109/tpami.2015.2389824openalex-snapshot
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
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/tpami.2021.3093446openalex-snapshot
DeepFake Detection Based on Discrepancies Between Faces and Their Context
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ICface: Interpretable and Controllable Face Reenactment Using GANs
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Detecting Face2Face Facial Reenactment in Videos
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Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes
inferredcites →https://doi.org/10.1109/wacvw.2019.00020openalex-snapshot
Exploiting Visual Artifacts to Expose Deepfakes and Face Manipulations
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Supervised Contrastive Learning for Generalizable and Explainable DeepFakes Detection
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
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Detecting Deep-Fake Videos from Appearance and Behavior
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A New Approach to Linear Filtering and Prediction Problems
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Proceedings of the 25th international conference on Machine learning - ICML '08
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Detecting Both Machine and Human Created Fake Face Images In the Wild
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The Creation and Detection of Deepfakes
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Exposing Vulnerabilities of Deepfake Detection Systems with Robust Attacks
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Metric Learning for Anti-Compression Facial Forgery Detection
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Evaluating Robustness of Sequence-based Deepfake Detector Models by Adversarial Perturbation
inferredcites →https://doi.org/10.1145/3588574openalex-snapshot
Deep Convolutional Pooling Transformer for Deepfake Detection
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Voice-Face Homogeneity Tells Deepfake
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Synthetic faces: how perceptually convincing are they?
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Synthetic Faces Are More Trustworthy Than Real Faces
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DIPPAS: a deep image prior PRNU anonymization scheme
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5 HONG KONG SPECIAL ADMINISTRATIVE REGION GOVERNMENT
inferredcites →https://doi.org/10.1609/aaai.v32i1.12277openalex-snapshot
ExprGAN: Facial Expression Editing With Controllable Expression Intensity
inferredcites →https://doi.org/10.1609/aaai.v35i2.16193openalex-snapshot
Local Relation Learning for Face Forgery Detection
inferredcites →https://doi.org/10.1609/aaai.v36i1.19886openalex-snapshot
ADD: Frequency Attention and Multi-View Based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images
inferredcites →https://doi.org/10.1609/aaai.v36i1.19954openalex-snapshot
Exploiting Fine-Grained Face Forgery Clues via Progressive Enhancement Learning
inferredcites →https://doi.org/10.1609/aaai.v36i1.19978openalex-snapshot
FInfer: Frame Inference-Based Deepfake Detection for High-Visual-Quality Videos
inferredcites →https://doi.org/10.1609/aaai.v36i1.19990openalex-snapshot
FrePGAN: Robust Deepfake Detection Using Frequency-Level Perturbations
inferredcites →https://doi.org/10.1609/aaai.v36i2.20130openalex-snapshot
Dual Contrastive Learning for General Face Forgery Detection
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Noise Based Deepfake Detection via Multi-Head Relative-Interaction
inferredcites →https://doi.org/10.21437/interspeech.2020-1416openalex-snapshot
TTS Skins: Speaker Conversion via ASR
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The Emergence of Deepfake Technology: A Review
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HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping
inferredcites →https://doi.org/10.24963/ijcai.2021/349openalex-snapshot
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
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Deep Fake Image Detection Based on Pairwise Learning
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Detection of Manipulated Face Videos over Social Networks: A Large-Scale Study
inferredcites →https://doi.org/10.48550/arxiv.2205.13368openalex-snapshot
One-Shot Face Reenactment on Megapixels
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Creating, Using, Misusing, and Detecting Deep Fakes
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Advances in Neural Information Processing Systems 14
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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DeepFakes Field Research: Weapon of Modern Information Warfare
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Deepfakes as Financial Crime Infrastructure Evidentiary Standards and Statutory Remedies for Banking and Insurance
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Advancing Deepfake Detection Through Head Pose Estimation on New-Generation Datasets
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A Spatial-Frequency Aware Multi-scale Fusion Network for Real-Time Deepfake Detection
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Towards Face Deepfake Detection: A Review with Research Challenges and Future Direction
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Deepfake Detection: Leveraging CNN-LSTM Architectures for Enhanced Spatial-Temporal Analysis
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Detecting violent deepfakes: dataset and a compact attention network with multi-scale supervision
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Sexualized deepfakes as a socio-technical continuation of gendered power
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Deepfake Image Detection Using Spatial Rich Model Features and Deep Learning Fusion
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AIT-Swap: A Semantic Consistency–Driven Hierarchical Framework for Accurate Identity Transfer in Face Swapping
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Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted
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Forensics Adapter: Adapting CLIP for Generalizable Face Forgery Detection
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A Survey of Frequency-Aware Deepfake Detection: Methods, Trends, and Challenges
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Shades of Generalization: Diversity Aware Open Set Deepfake Detection
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ShuffleNetV2-LSTM: An Efficient Spatio-Temporal Model for Video Deepfake Detection
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Hyper-GST: A Dyadic EEG Based Graph-Swin Transformer Model for AIGC Deepfake Video Detection
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CIFC-MFD: End-To-End Multi-Face Forgery Detection Using Cross-Image Face Contrast
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11463954openalex-snapshot
Audio-Visual Deepfake Generation and Detection: An Exploratory Survey
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Advanced Temporal Analysis for Deepfake Detection using XceptionNet in Media Forensics
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NullSwap: Proactive Identity Cloaking Against Deepfake Face Swapping
inferred← citeshttps://doi.org/10.1109/iccvw69036.2025.00167openalex-snapshot
Is JPEG AI Going to Change Image Forensics?
inferred← citeshttps://doi.org/10.1109/iciss67859.2026.11453614openalex-snapshot
Seeing Through Deepfakes: Explainable AI (XAI) for Image Forensics and Visual Detection
inferred← citeshttps://doi.org/10.1109/icmi65310.2025.11141060openalex-snapshot
Hyperparameter Optimization for Deepfake Detection Improving CNN and Transformer Performance Using Bayesian Search
inferred← citeshttps://doi.org/10.1109/iconat66879.2025.11362482openalex-snapshot
Deep-Fakes Detection in Media Forensics Using Deep Learning and Fusion Methods
inferred← citeshttps://doi.org/10.1109/icpct64145.2025.10940229openalex-snapshot
Navigating Deepfakes with Data Science: A Multi-Modal Analysis and Blockchain-Based Detection Framework
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11228245openalex-snapshot
Disruptive Attacks on Face Swapping via Low-Frequency Perceptual Perturbations
inferred← citeshttps://doi.org/10.1109/iraset68627.2026.11538768openalex-snapshot
Revisiting Deepfake Image Detection: An Analysis of Cross-Dataset Generalization Limits
inferred← citeshttps://doi.org/10.1109/iraset68627.2026.11538774openalex-snapshot
Deepfake Detection Using Multimodal Forensics
inferred← citeshttps://doi.org/10.1109/ispp69262.2026.11542863openalex-snapshot
TCFFNet: Temporal and Cross-Modal Feature Fusion Network for Deepfake Detection
inferred← citeshttps://doi.org/10.1109/lsp.2026.3713102openalex-snapshot
PMCF: A Progressive Multi-Level Collaborative Framework for Face Forgery Detection
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Defending Deepfake via Texture Feature Perturbation
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Beyond Real Versus Fake: Towards Intent-Aware Video Analysis
inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3572508openalex-snapshot
Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach
inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3585724openalex-snapshot
Deepfake Detection Leveraging Self-Blended Artifacts Guided by Facial Embedding Discrepancy
inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3628951openalex-snapshot
WaveGuard: Robust Deepfake Detection and Source Tracing via Dual-Tree Complex Wavelet and Graph Neural Networks
inferred← citeshttps://doi.org/10.1109/tcsvt.2026.3669190openalex-snapshot
Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method With Forgery Style Mixture
inferred← citeshttps://doi.org/10.1109/tcsvt.2026.3700633openalex-snapshot
One-Identity-One-Key: Region-Aware Watermark for Proactive Deepfake Detection and Robust Source Tracing
inferred← citeshttps://doi.org/10.1109/tifs.2025.3576577openalex-snapshot
MFCLIP: Multi-Modal Fine-Grained CLIP for Generalizable Diffusion Face Forgery Detection
inferred← citeshttps://doi.org/10.1109/tifs.2026.3674687openalex-snapshot
Boosting Active Defense Persistence: A Two-Stage Defense Framework Combining Interruption and Poisoning Against Deepfake
inferred← citeshttps://doi.org/10.1109/tip.2024.3434388openalex-snapshot
Inspector for Face Forgery Detection: Defending Against Adversarial Attacks From Coarse to Fine
inferred← citeshttps://doi.org/10.1109/tip.2026.3678069openalex-snapshot
Focus on Finding Deepfakes: A Robust Proactive Detection Method Based on Orthogonal Moment Watermarking
inferred← citeshttps://doi.org/10.1109/tpami.2025.3605195openalex-snapshot
Make Identity Indistinguishable: Utility-Preserving Face Dataset Publication With Provable Privacy Guarantees
inferred← citeshttps://doi.org/10.1109/tpami.2026.3667180openalex-snapshot
SSD: Making Face Forgery Clues Evident Again With Self-Steganographic Detection
inferred← citeshttps://doi.org/10.1109/tps-isa67132.2025.00030openalex-snapshot
Diffusion Based Face Generation via Image Editing and Image Morphing
inferred← citeshttps://doi.org/10.1109/wifs66636.2025.00019openalex-snapshot
ADD: An Automated Neural Architecture Search Baseline for Deepfake Detection
inferred← citeshttps://doi.org/10.1145/3733813.3764372openalex-snapshot
Scalable and Accurate Deepfake Detection
inferred← citeshttps://doi.org/10.1145/3743093.3770991openalex-snapshot
FALU: A Proactive Deepfake Detection Scheme Based on Average Hashing and Mamba-Like Linear Attention U-Net
inferred← citeshttps://doi.org/10.1145/3746027.3755455openalex-snapshot
Audio-Visual Asynchrony Mitigation: Cross-Modal Alignment and Feature Reconstruction for Deepfake Detection
inferred← citeshttps://doi.org/10.1145/3746027.3755587openalex-snapshot
Proactive Deepfake Detection via Self-Verifiable Semantic Watermarking
inferred← citeshttps://doi.org/10.1145/3746275.3762206openalex-snapshot
Seeing Isn't Believing: Addressing the Societal Impact of Deepfakes in Low-Tech Environments
inferred← citeshttps://doi.org/10.1145/3771296openalex-snapshot
A Survey on Proactive Deepfake Defense: Disruption and Watermarking
inferred← citeshttps://doi.org/10.1145/3772318.3791492openalex-snapshot
DeepAware: Using Experiential Deepfake Simulations to Enhance Cybersecurity Awareness in Older Adults
inferred← citeshttps://doi.org/10.1145/3772318.3793208openalex-snapshot
A Shared Look: Detecting Deepfakes with Inter-Subject Neural Synchrony
inferred← citeshttps://doi.org/10.1145/3774429openalex-snapshot
IDRetracor: Towards Visual Forensics against Malicious Face Swapping
inferred← citeshttps://doi.org/10.1145/3783994openalex-snapshot
Spatio-Temporal Disentanglement and Constrained Self-Attention for Multi-Modal Deception Detection
inferred← citeshttps://doi.org/10.1145/3789982.3790015openalex-snapshot
Fingerprinting Generative Audio Sources
inferred← citeshttps://doi.org/10.1145/3805622.3810714openalex-snapshot
Enhancing Deepfake Detection Reliability via Risk-Regulated Dual-Threshold Interval Selection
inferred← citeshttps://doi.org/10.12845/sft.66.2.2025.10openalex-snapshot
Analysis of Image Quality Characteristics and Processing Artifacts as the Foundation for Deepfake Detection
inferred← citeshttps://doi.org/10.1371/journal.pone.0334980openalex-snapshot
Deepfake defense: Combining spatial and temporal cues with CNN–BiLSTM–transformer architecture
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ARTIFICIAL INTELLIGENCE-BASED VOICE IMITATION IN THE DIGITAL AGE: ALGORITHMIC VENTRILOQUISM
inferred← citeshttps://doi.org/10.21203/rs.3.rs-10197752/v1openalex-snapshot
Interpretable-Aware Privacy Preserving Framework for Deepfake Detection using Federated ResNet and Explainable AI Techniques
inferred← citeshttps://doi.org/10.21203/rs.3.rs-10667567/v1openalex-snapshot
Decentralized AI-Powered Self-Healing Zero-Trust Digital Identity and Access Management System with Deepfake-Resistant Multimodal Biometrics and Predictive Cyber Defense
inferred← citeshttps://doi.org/10.2139/ssrn.6172563openalex-snapshot
BitVar: Revealing Deepfake Artifacts through Bit-Plane Temporal Variation Analysis
inferred← citeshttps://doi.org/10.2139/ssrn.7200054openalex-snapshot
DetailGuard-EfficientNet: A Lightweight AI-Generated Portrait Detector for Real-Time Content Moderation
inferred← citeshttps://doi.org/10.2139/ssrn.7411268openalex-snapshot
AC-YOLO: An Attention-Enhanced Compact YOLO Framework for Robust Deepfake Image Detection
inferred← citeshttps://doi.org/10.26634/jcc.13.1.977openalex-snapshot
The Evolution of Deepfake Generation and Countermeasures
inferred← citeshttps://doi.org/10.3389/frai.2025.1602998openalex-snapshot
Contestable AI for criminal intelligence analysis: improving decision-making through semantic modeling and human oversight
inferred← citeshttps://doi.org/10.3389/frvir.2026.1766672openalex-snapshot
Real or fake motion: protecting virtual reality (VR) behavioral authentication systems against motion forecasting attacks
inferred← citeshttps://doi.org/10.3390/cryptography9040061openalex-snapshot
From Black Boxes to Glass Boxes: Explainable AI for Trustworthy Deepfake Forensics
inferred← citeshttps://doi.org/10.3934/math.2026483openalex-snapshot
Markov processes for enhanced deepfake generation and detection
inferred← citeshttps://doi.org/10.4018/979-8-2600-2257-3.ch014openalex-snapshot
AI-Enhanced Phishing, Social Engineering, and Deepfake Threats
inferred← citeshttps://doi.org/10.4018/979-8-3373-8292-0.ch008openalex-snapshot
The Ethics of Deepfake Creation and Use
inferred← citeshttps://doi.org/10.4236/ojl.2025.143020openalex-snapshot
Leading through the Synthetic Media Era: Platform Governance to Curb AI-Generated Fake News, Protect the Public, and Preserve Trust
inferred← citeshttps://doi.org/10.46914/2959-4197-2026-1-3-224-241openalex-snapshot
Deepfakes as a threat to honor, dignity, privacy and public safety: legal mechanisms of counteraction
inferred← citeshttps://doi.org/10.53808/kus.2026.23.01.1664-seopenalex-snapshot
FIDF: A Hypergraph Convolutional Framework for Detection of Social Media Image Forgery in Compression Artefacts
inferred← citeshttps://doi.org/10.5753/sbseg.2025.11431openalex-snapshot
Além do Desempenho: Um Estudo da Confiabilidade de Detectores de Deepfakes
inferred← citeshttps://doi.org/10.58245/ipsi.tir.2502.05openalex-snapshot
Application of OSINT Methods in Ensuring Cybersecurity
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Revolutionizing Entertainment: The AI-Generated Tools and Their Impact on Mass Media and Entertainment
inferred← citeshttps://doi.org/10.7717/peerj-cs.2037openalex-snapshot
Deepfake forensics: a survey of digital forensic methods for multimodal deepfake identification on social media
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