Are Explainability Tools Gender Biased? A Case Study on Face
Presentation Attack Detection

Are Explainability Tools Gender Biased? A Case Study on Face Presentation Attack Detection

26 April 2023

Naser Damer

Papers citing "Are Explainability Tools Gender Biased? A Case Study on Face Presentation Attack Detection"

4 / 4 papers shown

Title
SynthASpoof: Developing Face Presentation Attack Detection Based on Privacy-friendly Synthetic Data Meiling Fang Marco Huber Naser Damer AAML 48 20 0 05 Mar 2023
Fairness in Face Presentation Attack Detection Meiling Fang Wufei Yang Arjan Kuijper Vitomir Štruc Naser Damer CVBM 38 15 0 19 Sep 2022
Explaining Face Presentation Attack Detection Using Natural Language H. Mirzaalian Mohamed E. Hussein L. Spinoulas Jonathan May Wael AbdAlmageed CVBM FAtt AAML 6 5 0 08 Nov 2021
CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations Yuanhan Zhang Zhen-fei Yin Yidong Li Guojun Yin Junjie Yan Jing Shao Ziwei Liu CVBM 42 158 0 24 Jul 2020