Cork/Face Presentation Attack Detection

Apply Central Difference Convolutional Network (CDCN) for face anti spoofing

Classic BWS: Liveness Detection, Deepfake Detection and PhotoVerify Face Match for KYC

This is an official pytorch implementation of 'Effective Presentation Attack Detection Driven by Face Related Task'

Classic BWS: BWS Android sample code for app integration

Framework to perform PAD (Presentation Attack Detection) on Facial Recognition systems through intrinsic properties and Deep Neural Networks - Still Under Development

Source Code for D-NetPAD (Densely Connected Network based Iris Presentation Attack Detection): https://arxiv.org/abs/2007.01381

An unofficial implementation of the paper "Deep Pixel-Wise Binary Supervision for Face Presentation Attack Detection" in Pytorch

The official implementation of the paper "FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection", accepted at WACV2025 Workshops.

Classic BWS: BWS HTML5 Unified User Interface

Classic BWS: BWS iOS sample code for app integration

Bio-WISE: Biometric recognition with integrated pad: simulation environment

BWS 3: BWS Client with Web App for Liveness Detection, Video Liveness Detection and Photo ID Verification

BWS 3: Client App iOS for Face Liveness Detection (Passive & Active liveness detection & Challenge Response) and Photo ID Verification

code for the paper "Impact of Channel Variation on One-Class Learning for Spoof Detection"

Supplementary material for the COLFISPOOF database.

Using deep learning to detect presentation attack on the Iris images

A Vision Transformer based face anti-spoofing framework, fine-tuned with advanced data augmentation and evaluated on CelebA-Spoof, achieving 95.61% AUC-ROC.

This is an official pytorch implementation of 'Fingerprint Presentation Attack Detector by Channel-wise Feature Denoising'

Silicone mask attack dataset for face anti-spoofing and liveness detection. 12,500+ videos, 18 silicone masks, 40+ accessory combinations. iBeta Level 2 compliant