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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
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
Learning deep forest with multi-scale Local Binary Pattern features for face anti-spoofing—0
Disentangled Representation with Dual-stage Feature Learning for Face Anti-spoofing—0
Deep Transfer Across Domains for Face Anti-spoofing—0
Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofing—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
Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing—0
Domain Generalization with Pseudo-Domain Label for Face Anti-Spoofing—0
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models—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
Adaptive Mixture of Experts Learning for Generalizable Face Anti-Spoofing—0
Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision—0
Advancing Cross-Domain Generalizability in Face Anti-Spoofing: Insights, Design, and Metrics—0
IFAST: Weakly Supervised Interpretable Face Anti-spoofing from Single-shot Binocular NIR Images—0
Deep Frequent Spatial Temporal Learning for Face Anti-Spoofing—0
Aurora Guard: Reliable Face Anti-Spoofing via Mobile Lighting System—0
Adaptive-avg-pooling based Attention Vision Transformer for Face Anti-spoofing—0
Hyp-OC: Hyperbolic One Class Classification for Face Anti-Spoofing—0
FaceShield: Explainable Face Anti-Spoofing with Multimodal Large Language Models—0
Aurora Guard: Real-Time Face Anti-Spoofing via Light Reflection—0
A-DeepPixBis: Attentional Angular Margin for Face Anti-Spoofing—0
Face Anti-Spoofing with Human Material Perception—0
Face Anti-Spoofing Via Disentangled Representation Learning—0
Face Anti-Spoofing: Model Matters, so Does Data—0
Attention-Based Face AntiSpoofing of RGB Images, using a Minimal End-2-End Neural Network—0
Hyperbolic Face Anti-Spoofing—0
Face Anti-Spoofing from the Perspective of Data Sampling—0
Face Anti-Spoofing by Learning Polarization Cues in a Real-World Scenario—0
FaceCat: Enhancing Face Recognition Security with a Unified Diffusion Model—0
DADM: Dual Alignment of Domain and Modality for Face Anti-spoofing—0
Face Presentation Attack Detection—0
Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review—0
FaceSkin: A Privacy Preserving Facial skin patch Dataset for multi Attributes classification—0
A Survey On Anti-Spoofing Methods For Face Recognition with RGB Cameras of Generic Consumer Devices—0
Federated Face Presentation Attack Detection—0
Few-Shot Domain Expansion for Face Anti-Spoofing—0
Fine-Grained Annotation for Face Anti-Spoofing—0
Extended monocular 3D imaging—0
A Closer Look at Geometric Temporal Dynamics for Face Anti-Spoofing—0
FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofing—0
Forensicability Assessment of Questioned Images in Recapturing Detection—0
Generative Classifier for Domain Generalization—0
Exposing Fine-Grained Adversarial Vulnerability of Face Anti-Spoofing Models—0
Exploring Hypergraph Representation on Face Anti-spoofing Beyond 2D Attacks—0
Enhancing Mobile Privacy and Security: A Face Skin Patch-Based Anti-Spoofing Approach—0
A Dataset and Benchmark Towards Multi-Modal Face Anti-Spoofing Under Surveillance Scenarios—0
Generative Domain Adaptation for Face Anti-Spoofing—0
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