D-NetPAD: An Explainable and Interpretable Iris Presentation Attack Detector

2 July 2020

Papers citing "D-NetPAD: An Explainable and Interpretable Iris Presentation Attack Detector"

9 / 9 papers shown

Title
Task-conditioned Ensemble of Expert Models for Continuous Learning Renu Sharma Debasmita Pal Arun Ross OOD KELM 261 0 0 11 Apr 2025
Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack Detection Renu Sharma Redwan Sony Arun Ross AAML 21 3 0 21 Nov 2023
State Of The Art In Open-Set Iris Presentation Attack Detection Aidan Boyd Jeremy Speth Lucas Parzianello Kevin W. Bowyer A. Czajka AAML 27 2 0 22 Aug 2022
Causality-Inspired Taxonomy for Explainable Artificial Intelligence Pedro C. Neto Tiago B. Gonccalves João Ribeiro Pinto W. Silva Ana F. Sequeira Arun Ross Jaime S. Cardoso XAI 49 12 0 19 Aug 2022
Intra and Cross-spectrum Iris Presentation Attack Detection in the NIR and Visible Domains Meiling Fang Fadi Boutros Naser Damer AAML 19 4 0 05 May 2022
Overview frequency principle/spectral bias in deep learning Z. Xu Tao Luo Yaoyu Zhang FaML 38 66 0 19 Jan 2022
Subspace Decomposition based DNN algorithm for elliptic type multi-scale PDEs Xi-An Li Z. Xu Lei Zhang 27 27 0 10 Dec 2021
Iris Presentation Attack Detection by Attention-based and Deep Pixel-wise Binary Supervision Network Meiling Fang Naser Damer Fadi Boutros Florian Kirchbuchner Arjan Kuijper 21 27 0 28 Jun 2021
Human-Aided Saliency Maps Improve Generalization of Deep Learning Aidan Boyd Kevin W. Bowyer A. Czajka AAML 29 25 0 07 May 2021