This survey provides a thorough review of techniques for manipulating face images including DeepFake methods, and methods to detect such manipulations, with special attention to the latest generation of DeepFakes.
Authors
A. Morales
10 papers
R. Vera-Rodríguez
6 papers
Julian Fierrez
10 papers
Rubén Tolosana
8 papers
J. Ortega-Garcia
2 papers
References209 items
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A video is worth more than 1000 lies. Comparing 3DCNN approaches for detecting deepfakes
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Morphing Attack Detection-Database, Evaluation Platform, and Benchmarking
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mEBAL: A Multimodal Database for Eye Blink Detection and Attention Level Estimation
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Differential Detection of Facial Retouching: A Multi-Biometric Approach
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Detecting Deepfake Videos using Attribution-Based Confidence Metric
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Towards Untrusted Social Video Verification to Combat Deepfakes via Face Geometry Consistency
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Detecting Video Speed Manipulation
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Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches
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OC-FakeDect: Classifying Deepfakes Using One-class Variational Autoencoder
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Detecting GANs and Retouching based Digital Alterations via DAD-HCNN
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Keystroke Biometrics in Response to Fake News Propagation in a Global Pandemic
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Detecting CNN-Generated Facial Images in Real-World Scenarios
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Deepfakes Detection with Automatic Face Weighting
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PipeNet: Selective Modal Pipeline of Fusion Network for Multi-Modal Face Anti-Spoofing
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DeepFake Detection by Analyzing Convolutional Traces
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DeepVision: Deepfakes Detection Using Human Eye Blinking Pattern
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DeepFakes Evolution: Analysis of Facial Regions and Fake Detection Performance
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Evading Deepfake-Image Detectors with White- and Black-Box Attacks
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Multi-Modal Face Anti-Spoofing Based on Central Difference Networks
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PRNU-based detection of facial retouching
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Deepfakes: Trick or treat?
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Media Forensics and DeepFakes: An Overview
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Everybody’s Talkin’: Let Me Talk as You Want
24
Deep Face Representations for Differential Morphing Attack Detection
25
Analyzing and Improving the Image Quality of StyleGAN
26
SpoC: Spoofing Camera Fingerprints
27
Jointly De-Biasing Face Recognition and Demographic Attribute Estimation
28
DebFace: De-biasing Face Recognition
29
GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection
30
Real or Fake? Spoofing State-Of-The-Art Face Synthesis Detection Systems
31
Use of a Capsule Network to Detect Fake Images and Videos
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Impact and Detection of Facial Beautification in Face Recognition: An Overview
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The Deepfake Detection Challenge (DFDC) Preview Dataset
34
On the Detection of Digital Face Manipulation
35
Incremental learning for the detection and classification of GAN-generated images
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Vulnerability of Face Recognition to Deep Morphing
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Deepfake Video Detection through Optical Flow Based CNN
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Live Face De-Identification in Video
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Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics
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Celeb-DF: A New Dataset for DeepFake Forensics
41
FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces
42
FakeSpotter: A Simple Baseline for Spotting AI-Synthesized Fake Faces
43
UGAN: Untraceable GAN for Multi-Domain Face Translation
44
Interpreting the Latent Space of GANs for Semantic Face Editing
45
Detecting and Simulating Artifacts in GAN Fake Images
46
Multi-task Learning for Detecting and Segmenting Manipulated Facial Images and Videos
47
Detecting Photoshopped Faces by Scripting Photoshop
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Text-based editing of talking-head video
49
Evading Face Recognition via Partial Tampering of Faces
50
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
51
FlowSAN: Privacy-Enhancing Semi-Adversarial Networks to Confound Arbitrary Face-Based Gender Classifiers
52
Recurrent Convolutional Strategies for Face Manipulation Detection in Videos
53
Source Generator Attribution via Inversion
54
Deferred neural rendering
55
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
56
K-Same-Siamese-GAN: K-Same Algorithm with Generative Adversarial Network for Facial Image De-identification with Hyperparameter Tuning and Mixed Precision Training
57
Face Recognition Systems Under Morphing Attacks: A Survey
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De-identification Without Losing Faces
59
A Comprehensive Overview of Biometric Fusion
60
SensitiveNets: Learning Agnostic Representations with Application to Face Images
61
SensitiveNets: Learning Agnostic Representations with Application to Face Recognition
62
Face morphing detection in the presence of printing/scanning and heterogeneous image sources
63
FaceForensics++: Learning to Detect Manipulated Facial Images
64
Detecting GAN generated Fake Images using Co-occurrence Matrices
65
Exploiting Visual Artifacts to Expose Deepfakes and Face Manipulations
66
MFC Datasets: Large-Scale Benchmark Datasets for Media Forensic Challenge Evaluation
67
Do GANs Leave Artificial Fingerprints?
68
Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation
69
DeepFakes: a New Threat to Face Recognition? Assessment and Detection
70
Detecting GAN-generated Imagery using Color Cues
71
A Style-Based Generator Architecture for Generative Adversarial Networks
72
ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection
73
Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images
74
Exposing Deep Fakes Using Inconsistent Head Poses
75
Exposing DeepFake Videos By Detecting Face Warping Artifacts
76
Deepfake Video Detection Using Recurrent Neural Networks
77
Multiple classifiers in biometrics. part 1: Fundamentals and review
78
Multiple classifiers in biometrics. Part 2: Trends and challenges
79
FakeNewsTracker: a tool for fake news collection, detection, and visualization
80
Detecting Face Morphing Attacks by Analyzing the Directed Distances of Facial Landmarks Shifts
81
On Detecting GANs and Retouching based Synthetic Alterations
82
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
83
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings
84
MesoNet: a Compact Facial Video Forgery Detection Network
85
Speaker Inconsistency Detection in Tampered Video
86
Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation, and COTS Evaluation
87
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation
88
Glow: Generative Flow with Invertible 1x1 Convolutions
89
Detecting Morphed Face Images Using Facial Landmarks
90
Face Morphing Detection Using Fourier Spectrum of Sensor Pattern Noise
91
Integrating Diversity into Neural-Network-Based Face Deidentification
92
In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking
93
OpenFace 2.0: Facial Behavior Analysis Toolkit
94
Learning Rich Features for Image Manipulation Detection
95
Fighting Fake News: Image Splice Detection via Learned Self-Consistency
96
Talking Face Generation by Conditional Recurrent Adversarial Network
97
Face Demorphing
98
ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes
99
FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces
100
The science of fake news
101
Spectral Normalization for Generative Adversarial Networks
102
Matrix capsules with EM routing
103
Detecting Both Machine and Human Created Fake Face Images In the Wild
104
Demystifying MMD GANs
105
k-Same-Net: k-Anonymity with Generative Deep Neural Networks for Face Deidentification †
106
Distinguishing computer graphics from natural images using convolution neural networks
107
Digital image integrity - a survey of protection and verification techniques
108
AttGAN: Facial Attribute Editing by Only Changing What You Want
109
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
110
StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation
111
Natural and Effective Obfuscation by Head Inpainting
112
Bringing portraits to life
113
Toward Multimodal Image-to-Image Translation
114
Progressive Growing of GANs for Improved Quality, Stability, and Variation
115
Dynamic Routing Between Capsules
116
VGGFace2: A Dataset for Recognising Faces across Pose and Age
117
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
118
Fake News Detection on Social Media: A Data Mining Perspective
119
Multimodal detection of fake social media use through a fusion of classification and pairwise ranking systems
120
Two-Stream Neural Networks for Tampered Face Detection
121
I Know That Person: Generative Full Body and Face De-identification of People in Images
122
Synthesizing Obama
123
Modeling Attacks on Photo-ID Documents and Applying Media Forensics for the Detection of Facial Morphing
124
Attention is All you Need
125
Fader Networks: Manipulating Images by Sliding Attributes
126
The Cramer Distance as a Solution to Biased Wasserstein Gradients
127
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
128
Face Deidentification with Generative Deep Neural Networks
129
Is your biometric system robust to morphing attaeks?
130
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
131
Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection
132
Social Media and Fake News in the 2016 Election
133
Learning Residual Images for Face Attribute Manipulation
134
iCaRL: Incremental Classifier and Representation Learning
135
Image-to-Image Translation with Conditional Adversarial Networks
136
Invertible Conditional GANs for image editing
137
Deep Identity-aware Transfer of Facial Attributes
138
Xception: Deep Learning with Depthwise Separable Convolutions
139
Detecting Facial Retouching Using Supervised Deep Learning
140
Face2Face: Real-Time Face Capture and Reenactment of RGB Videos
141
A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer
142
Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks
143
Deep Residual Learning for Image Recognition
144
Rethinking the Inception Architecture for Computer Vision
145
Splicebuster: A new blind image splicing detector
146
Biometrics Systems Under Spoofing Attack: An evaluation methodology and lessons learned
147
Facial makeup detection technique based on texture and shape analysis
148
FaceNet: A unified embedding for face recognition and clustering
149
Biometric Antispoofing Methods: A Survey in Face Recognition
150
Learning Face Representation from Scratch
151
Deep Learning Face Attributes in the Wild
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Conditional Generative Adversarial Nets
153
Going deeper with convolutions
154
Very Deep Convolutional Networks for Large-Scale Image Recognition
155
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
156
Exposing video inter-frame forgery based on velocity field consistency
157
A video forensic technique for detecting frame deletion and insertion
158
Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint, and Face Recognition
159
Auto-Encoding Variational Bayes
160
An Overview on Image Forensics
161
Can facial cosmetics affect the matching accuracy of face recognition systems?
162
An overview on video forensics
163
Vision of the unseen: Current trends and challenges in digital image and video forensics
164
Transforming Auto-Encoders
165
Detecting Recompression of JPEG Images via Periodicity Analysis of Compression Artifacts for Tampering Detection
166
Digital Image Forgery Detection Based on Lens and Sensor Aberration
167
Forensic detection of image manipulation using statistical intrinsic fingerprints
168
Dlib-ml: A Machine Learning Toolkit
169
Accurate Detection of Demosaicing Regularity for Digital Image Forensics
170
Fast, automatic and fine-grained tampered JPEG image detection via DCT coefficient analysis
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Multimedia in forensics
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ImageNet: A large-scale hierarchical image database
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Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference
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Image forgery detection
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Digital image forensics via intrinsic fingerprints
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Model-Based Face De-Identification
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Effective representation using ICA for face recognition robust to local distortion and partial occlusion
178
Exposing digital forgeries in color filter array interpolated images
179
Poisson image editing
180
Assessment of Time Dependency in Face Recognition: An Initial Study
181
Image morphing: a survey
182
Video Rewrite: Driving Visual Speech with Audio
183
The expectation-maximization algorithm
184
Trends and challenges
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Workshop on Deepfakes and Presentation Attacks in Biometrics
186
Protecting World Leaders Against Deep Fakes
187
HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
188
Fake Videos of Real People – and How to Spot Them
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How DeepFake Undermine Truth and Threaten Democracy
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Deepfake Videos Double in Nine Months
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Applications of Computer Vision and Pattern Recognition to Media Forensics
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Handbook of Biometric Anti-Spoofing (2nd Edition)
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Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000
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Deepfakes: What Are They and Why Would I Make One?
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GENERATIVE ADVERSARIAL NETS
196
affiliated with the Biometric Recognition Group, Universidad Autonoma de Madrid, Spain, where he is currently an Associate Professor
197
Chair for the IEEE 51st International Carnahan Conference on Security and Technology (ICCST)
198
000 Faces Generated by AI
199
OpenFace: A general-purpose face recognition library with mobile applications
200
Eye-Blink Detection Using Facial Landmarks
201
Adjust and exaggerate facial features
202
Deep Face Recognition
203
Deep Learning
204
Face De-identification
205
Ieee Transactions on Information Forensics and Security 1 a Sift-based Forensic Method for Copy-move Attack Detection and Transformation Recovery
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Telecommunication degree in
207
several publications and also
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Contributing Data to Deepfake Detection Research , ” 2019 . [ Online ]
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Synthetic Realities : Deep Learning for Detecting AudioVisual Fakes , ” in International Conference on Machine Learning , 2019 . [ Online ]