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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 176–200 of 204 papers

TitleStatusHype
Regularized Fine-grained Meta Face Anti-spoofingCode0
Learning deep forest with multi-scale Local Binary Pattern features for face anti-spoofing—0
CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing—0
Style Transfer Applied to Face Liveness Detection with User-Centered Models—0
Domain Adaptation in Multi-Channel Autoencoder based Features for Robust Face Anti-SpoofingCode0
Deep Pixel-wise Binary Supervision for Face Presentation Attack DetectionCode0
Face Anti-Spoofing: Model Matters, so Does Data—0
Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack DetectionCode0
Learning Meta Model for Zero- and Few-shot Face Anti-spoofing—0
FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofingCode0
Deep Anomaly Detection for Generalized Face Anti-SpoofingCode0
Generalized Presentation Attack Detection: a face anti-spoofing evaluation proposalCode0
Deep Tree Learning for Zero-shot Face Anti-SpoofingCode0
Aurora Guard: Real-Time Face Anti-Spoofing via Light Reflection—0
Towards Real-time Eyeblink Detection in The Wild:Dataset,Theory and Practices—0
Learning Generalizable and Identity-Discriminative Representations for Face Anti-SpoofingCode0
Enhance the Motion Cues for Face Anti-Spoofing using CNN-LSTM Architecture—0
Deep Transfer Across Domains for Face Anti-spoofing—0
Improving Face Anti-Spoofing by 3D Virtual SynthesisCode0
A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofingCode0
Exploring Hypergraph Representation on Face Anti-spoofing Beyond 2D Attacks—0
Exploiting temporal and depth information for multi-frame face anti-spoofingCode1
Face De-Spoofing: Anti-Spoofing via Noise ModelingCode0
A Performance Evaluation of Convolutional Neural Networks for Face Anti Spoofing—0
Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision—0
Show:102550
← PrevPage 8 of 9Next →

No leaderboard results yet.