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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 176–200 of 204 papers

TitleStatusHype
Semi-Supervised learning for Face Anti-Spoofing using Apex frame—0
Adaptive Mixture of Experts Learning for Generalizable Face Anti-Spoofing—0
Shuffled Patch-Wise Supervision for Presentation Attack Detection—0
Adaptive-avg-pooling based Attention Vision Transformer for Face Anti-spoofing—0
3D Face Anti-spoofing with Factorized Bilinear Coding—0
Distributional Estimation of Data Uncertainty for Surveillance Face Anti-spoofing—0
Spoof Trace Disentanglement for generic face antispoofing—0
Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing—0
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters—0
Disentangled Representation with Dual-stage Feature Learning for Face Anti-spoofing—0
Domain Generalization with Pseudo-Domain Label for Face Anti-Spoofing—0
Denoising and Alignment: Rethinking Domain Generalization for Multimodal Face Anti-Spoofing—0
DRL-FAS: A Novel Framework Based on Deep Reinforcement Learning for Face Anti-Spoofing—0
Deep Transfer Across Domains for Face Anti-spoofing—0
Dual Reweighting Domain Generalization for Face Presentation Attack Detection—0
Deep Frequent Spatial Temporal Learning for Face Anti-Spoofing—0
Dual Teacher Knowledge Distillation with Domain Alignment for Face Anti-spoofing—0
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks—0
Enhance the Motion Cues for Face Anti-Spoofing using CNN-LSTM Architecture—0
Static and Dynamic Fusion for Multi-modal Cross-ethnicity Face Anti-spoofing—0
DADM: Dual Alignment of Domain and Modality for Face Anti-spoofing—0
Enhancing Mobile Privacy and Security: A Face Skin Patch-Based Anti-Spoofing Approach—0
Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review—0
Exploring Hypergraph Representation on Face Anti-spoofing Beyond 2D Attacks—0
Exposing Fine-Grained Adversarial Vulnerability of Face Anti-Spoofing Models—0
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