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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
Deep Pixel-wise Binary Supervision for Face Presentation Attack DetectionCode0
BIG-MoE: Bypass Isolated Gating MoE for Generalized Multimodal Face Anti-SpoofingCode0
A visualization method for data domain changes in CNN networks and the optimization method for selecting thresholds in classification tasksCode0
Towards Data-Centric Face Anti-Spoofing: Improving Cross-domain Generalization via Physics-based Data SynthesisCode0
Feature Generation and Hypothesis Verification for Reliable Face Anti-SpoofingCode0
SLIP: Spoof-Aware One-Class Face Anti-Spoofing with Language Image PretrainingCode0
Wild Face Anti-Spoofing Challenge 2023: Benchmark and ResultsCode0
Revisiting Pixel-Wise Supervision for Face Anti-SpoofingCode0
Regularized Fine-grained Meta Face Anti-spoofingCode0
Face De-Spoofing: Anti-Spoofing via Noise ModelingCode0
PATRON: Exploring respiratory signal derived from non-contact face videos for face anti-spoofingCode0
On the Effectiveness of Vision Transformers for Zero-shot Face Anti-SpoofingCode0
Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack DetectionCode0
Cross-Database Liveness Detection: Insights from Comparative Biometric AnalysisCode0
Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural NetworksCode0
Learning Generalizable and Identity-Discriminative Representations for Face Anti-SpoofingCode0
Enhancing Learnable Descriptive Convolutional Vision Transformer for Face Anti-SpoofingCode0
Improving Face Anti-Spoofing by 3D Virtual SynthesisCode0
Joint Statistical and Causal Feature Modulated Face Anti-SpoofingCode0
FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofingCode0
Generalized Presentation Attack Detection: a face anti-spoofing evaluation proposalCode0
Generalized Face Anti-spoofing via Finer Domain Partition and Disentangling Liveness-irrelevant FactorsCode0
Latent Distribution Adjusting for Face Anti-SpoofingCode0
DRL-FAS: A Novel Framework Based on Deep Reinforcement Learning for Face Anti-Spoofing—0
Domain Generalization with Pseudo-Domain Label for Face Anti-Spoofing—0
CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofing—0
A Multi-Modal Approach for Face Anti-Spoofing in Non-Calibrated Systems using Disparity Maps—0
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters—0
Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing—0
Distributional Estimation of Data Uncertainty for Surveillance Face Anti-spoofing—0
CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing—0
Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofing—0
Disentangled Representation with Dual-stage Feature Learning for Face Anti-spoofing—0
Camera Invariant Feature Learning for Generalized Face Anti-spoofing—0
Denoising and Alignment: Rethinking Domain Generalization for Multimodal Face Anti-Spoofing—0
Adversarial Unsupervised Domain Adaptation Guided with Deep Clustering for Face Presentation Attack Detection—0
Deep Transfer Across Domains for Face Anti-spoofing—0
Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing—0
Bi-FPNFAS: Bi-Directional Feature Pyramid Network for Pixel-Wise Face Anti-Spoofing by Leveraging Fourier Spectra—0
G^2V^2former: Graph Guided Video Vision Transformer for Face Anti-Spoofing—0
Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues—0
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models—0
Adaptive Mixture of Experts Learning for Generalizable Face Anti-Spoofing—0
Forensicability Assessment of Questioned Images in Recapturing Detection—0
FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofing—0
Deep Learning meets Liveness Detection: Recent Advancements and Challenges—0
Fine-Grained Annotation for Face Anti-Spoofing—0
Few-Shot Domain Expansion for Face Anti-Spoofing—0
Deep Frequent Spatial Temporal Learning for Face Anti-Spoofing—0
Federated Face Presentation Attack Detection—0
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