Face Presentation Attack Detection

10 papers with code • 3 benchmarks • 5 datasets

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Most implemented papers

Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection

Saiyam26/Face-Anti-Spoofing-using-DeePixBiS 9 Jul 2019

The proposed approach achieves an HTER of 0% in Replay Mobile dataset and an ACER of 0. 42% in Protocol-1 of OULU dataset outperforming state of the art methods.

Domain Adaptation in Multi-Channel Autoencoder based Features for Robust Face Anti-Spoofing

anjith2006/bob.paper.mcae.icb2019 9 Jul 2019

The proposed system is tested on a very recent publicly available multi-channel PAD database with a wide variety of presentation attacks.

Specular- and Diffuse-reflection-based Face Spoofing Detection for Mobile Devices

Akinori-F-Ebihara/SpecDiff-spoofing-detector 29 Jul 2019

In light of the rising demand for biometric-authentication systems, preventing face spoofing attacks is a critical issue for the safe deployment of face recognition systems.

Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network

anjith2006/bob.paper.mccnn.tifs2018 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 2019

We also introduce the new Wide Multi-Channel presentation Attack (WMCA) database for face PAD which contains a wide variety of 2D and 3D presentation attacks for both impersonation and obfuscation attacks.

Anomaly Detection-Based Unknown Face Presentation Attack Detection

yashasvi97/IJCB2020_anomaly 11 Jul 2020

Anomaly detection-based spoof attack detection is a recent development in face Presentation Attack Detection (fPAD), where a spoof detector is learned using only non-attacked images of users.

Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural Networks

anjith2006/bob.paper.oneclass_mccnn_2019 22 Jul 2020

The proposed system is evaluated on the publicly available WMCA multi-channel face PAD database, which contains a wide variety of 2D and 3D attacks.

Learnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection

meilfang/lmfd-pad 16 Sep 2021

With the increased deployment of face recognition systems in our daily lives, face presentation attack detection (PAD) is attracting much attention and playing a key role in securing face recognition systems.

FRT-PAD: Effective Presentation Attack Detection Driven by Face Related Task

wentianzhang-ml/frt-pad 22 Nov 2021

The proposed method, first introduces task specific features from other face related task, then, we design a Cross-Modal Adapter using a Graph Attention Network (GAT) to re-map such features to adapt to PAD task.

VLAD-VSA: Cross-Domain Face Presentation Attack Detection with Vocabulary Separation and Adaptation

liubinggunzu/vlad-vsa 21 Feb 2022

In this paper, the VLAD aggregation method is adopted to quantize local features with visual vocabulary locally partitioning the feature space, and hence preserve the local discriminability.

One-Class Knowledge Distillation for Face Presentation Attack Detection

lizhi-ntu/OCKD-FacePAD 8 May 2022

Under this framework, a teacher network is trained with source domain samples to provide discriminative feature representations for face PAD.