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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 26–50 of 204 papers

TitleStatusHype
Suppress and Rebalance: Towards Generalized Multi-Modal Face Anti-SpoofingCode1
Domain-Generalized Face Anti-Spoofing with Unknown AttacksCode1
Enhancing Mobile Face Anti-Spoofing: A Robust Framework for Diverse Attack Types under Screen FlashCode1
DiffFAS: Face Anti-Spoofing via Generative Diffusion ModelsCode1
CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and ResultsCode1
Flexible-Modal Face Anti-Spoofing: A BenchmarkCode1
Dual-Cross Central Difference Network for Face Anti-SpoofingCode1
CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich AnnotationsCode1
Exploiting temporal and depth information for multi-frame face anti-spoofingCode1
Consistency Regularization for Deep Face Anti-SpoofingCode1
Creating Artificial Modalities to Solve RGB LivenessCode1
FLIP: Cross-domain Face Anti-spoofing with Language GuidanceCode1
InstructFLIP: Exploring Unified Vision-Language Model for Face Anti-spoofingCode1
PipeNet: Selective Modal Pipeline of Fusion Network for Multi-Modal Face Anti-SpoofingCode1
Cyclically Disentangled Feature Translation for Face Anti-spoofingCode1
Learn Convolutional Neural Network for Face Anti-SpoofingCode1
Deep Change Monitoring: A Hyperbolic Representative Learning Framework and a Dataset for Long-term Fine-grained Tree Change DetectionCode1
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
CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing—0
Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofing—0
3D Face Anti-spoofing with Factorized Bilinear Coding—0
Camera Invariant Feature Learning for Generalized Face Anti-spoofing—0
Adversarial Unsupervised Domain Adaptation Guided with Deep Clustering for Face Presentation Attack Detection—0
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models—0
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