SOTAVerified

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 151–175 of 204 papers

TitleStatusHype
Face Anti-Spoofing Via Disentangled Representation Learning—0
CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich AnnotationsCode1
Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural NetworksCode0
On Disentangling Spoof Trace for Generic Face Anti-SpoofingCode1
Face Anti-Spoofing with Human Material Perception—0
Creating Artificial Modalities to Solve RGB LivenessCode1
Use of in-the-wild images for anomaly detection in face anti-spoofing—0
On Improving Temporal Consistency for Online Face Liveness Detection—0
mEBAL: A Multimodal Database for Eye Blink Detection and Attention Level EstimationCode1
Look Locally Infer Globally: A Generalizable Face Anti-Spoofing Approach—0
Federated Face Presentation Attack Detection—0
3D Face Anti-spoofing with Factorized Bilinear Coding—0
Learning Generalized Spoof Cues for Face Anti-spoofingCode1
Single-Side Domain Generalization for Face Anti-SpoofingCode1
PipeNet: Selective Modal Pipeline of Fusion Network for Multi-Modal Face Anti-SpoofingCode1
Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review—0
Multi-Modal Face Anti-Spoofing Based on Central Difference NetworksCode1
Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofingCode1
Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario—0
CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofing—0
Searching Central Difference Convolutional Networks for Face Anti-SpoofingCode1
Deep Frequent Spatial Temporal Learning for Face Anti-Spoofing—0
Attention-Based Face AntiSpoofing of RGB Images, using a Minimal End-2-End Neural Network—0
Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing—0
Static and Dynamic Fusion for Multi-modal Cross-ethnicity Face Anti-spoofing—0
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