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Face Anti-Spoofing

Facial anti-spoofing is the task of preventing false facial verification by using a photo, video, mask or a different substitute for an authorized person’s face. Some examples of attacks:

  • Print attack: The attacker uses someone’s photo. The image is printed or displayed on a digital device.

  • Replay/video attack: A more sophisticated way to trick the system, which usually requires a looped video of a victim’s face. This approach ensures behaviour and facial movements to look more ‘natural’ compared to holding someone’s photo.

  • 3D mask attack: During this type of attack, a mask is used as the tool of choice for spoofing. It’s an even more sophisticated attack than playing a face video. In addition to natural facial movements, it enables ways to deceive some extra layers of protection such as depth sensors.

( Image credit: Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing )

Papers

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Showing 51–100 of 204 papers

TitleStatusHype
TeG-DG: Textually Guided Domain Generalization for Face Anti-Spoofing—0
Presentation Attack Detection using Convolutional Neural Networks and Local Binary Patterns—0
Domain-Generalized Face Anti-Spoofing with Unknown AttacksCode1
Fine-Grained Annotation for Face Anti-Spoofing—0
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters—0
IFAST: Weakly Supervised Interpretable Face Anti-spoofing from Single-shot Binocular NIR Images—0
FLIP: Cross-domain Face Anti-spoofing with Language GuidanceCode1
Distributional Estimation of Data Uncertainty for Surveillance Face Anti-spoofing—0
Semi-Supervised learning for Face Anti-Spoofing using Apex frame—0
S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with Statistical TokensCode0
Enhancing Mobile Face Anti-Spoofing: A Robust Framework for Diverse Attack Types under Screen FlashCode1
Saliency-based Video Summarization for Face Anti-spoofing—0
Hyperbolic Face Anti-Spoofing—0
FaceSkin: A Privacy Preserving Facial skin patch Dataset for multi Attributes classification—0
Enhancing Mobile Privacy and Security: A Face Skin Patch-Based Anti-Spoofing Approach—0
AdvFAS: A robust face anti-spoofing framework against adversarial examplesCode0
Visual Prompt Flexible-Modal Face Anti-Spoofing—0
Robust face anti-spoofing framework with Convolutional Vision Transformer—0
Deep Ensemble Learning with Frame Skipping for Face Anti-SpoofingCode0
Joint Statistical and Causal Feature Modulated Face Anti-SpoofingCode0
A Closer Look at Geometric Temporal Dynamics for Face Anti-Spoofing—0
Mask Attack Detection Using Vascular-weighted Motion-robust rPPG Signals—0
Latent Distribution Adjusting for Face Anti-SpoofingCode0
FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofing—0
Surveillance Face Presentation Attack Detection Challenge—0
MA-ViT: Modality-Agnostic Vision Transformers for Face Anti-Spoofing—0
Wild Face Anti-Spoofing Challenge 2023: Benchmark and ResultsCode0
Instance-Aware Domain Generalization for Face Anti-SpoofingCode1
Rethinking Domain Generalization for Face Anti-spoofing: Separability and AlignmentCode1
Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less—0
Spoof Trace Disentanglement for generic face antispoofing—0
Liveness score-based regression neural networks for face anti-spoofing—0
EnfoMax: Domain Entropy and Mutual Information Maximization for Domain Generalized Face Anti-spoofing—0
Rethinking Vision Transformer and Masked Autoencoder in Multimodal Face Anti-Spoofing—0
M3FAS: An Accurate and Robust MultiModal Mobile Face Anti-Spoofing SystemCode0
Surveillance Face Anti-spoofing—0
Towards Unsupervised Domain Generalization for Face Anti-Spoofing—0
Face Presentation Attack Detection—0
Cyclically Disentangled Feature Translation for Face Anti-spoofingCode1
Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing—0
Generalized Face Anti-Spoofing via Multi-Task Learning and One-Side Meta Triplet Loss—0
Race Bias Analysis of Bona Fide Errors in face anti-spoofing—0
Forensicability Assessment of Questioned Images in Recapturing Detection—0
Face Anti-Spoofing from the Perspective of Data Sampling—0
Multi-domain Learning for Updating Face Anti-spoofing ModelsCode1
Learning Facial Liveness Representation for Domain Generalized Face Anti-spoofing—0
Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues—0
Multi-Frames Temporal Abnormal Clues Learning Method for Face Anti-Spoofing—0
Post-Train Adaptive MobileNet for Fast Anti-Spoofing—0
Adaptive Mixture of Experts Learning for Generalizable Face Anti-Spoofing—0
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