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Causality-Inspired Taxonomy for Explainable Artificial Intelligence

Causality-Inspired Taxonomy for Explainable Artificial Intelligence

19 August 2022
Pedro C. Neto
Tiago B. Gonccalves
João Ribeiro Pinto
W. Silva
Ana F. Sequeira
Arun Ross
Jaime S. Cardoso
    XAI
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Papers citing "Causality-Inspired Taxonomy for Explainable Artificial Intelligence"

15 / 15 papers shown
Title
MST-KD: Multiple Specialized Teachers Knowledge Distillation for Fair
  Face Recognition
MST-KD: Multiple Specialized Teachers Knowledge Distillation for Fair Face Recognition
Eduarda Caldeira
Jaime S. Cardoso
Ana F. Sequeira
Pedro C. Neto
CVBM
27
0
0
29 Aug 2024
Fairness Under Cover: Evaluating the Impact of Occlusions on Demographic
  Bias in Facial Recognition
Fairness Under Cover: Evaluating the Impact of Occlusions on Demographic Bias in Facial Recognition
Rafael M. Mamede
Pedro C. Neto
Ana F. Sequeira
45
1
0
19 Aug 2024
Compressed Models Decompress Race Biases: What Quantized Models Forget
  for Fair Face Recognition
Compressed Models Decompress Race Biases: What Quantized Models Forget for Fair Face Recognition
Pedro C. Neto
Eduarda Caldeira
Jaime S. Cardoso
Ana F. Sequeira
MQ
17
11
0
23 Aug 2023
Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face
  Morphing Detection
Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection
Eduarda Caldeira
Pedro C. Neto
Tiago B. Gonccalves
Naser Damer
Ana F. Sequeira
Jaime S. Cardoso
CVBM
8
6
0
05 Jun 2023
Discriminative Deep Feature Visualization for Explainable Face
  Recognition
Discriminative Deep Feature Visualization for Explainable Face Recognition
Zewei Xu
Yuhang Lu
Touradj Ebrahimi
FAtt
CVBM
15
6
0
01 Jun 2023
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
Marco Huber
Meiling Fang
Fadi Boutros
Naser Damer
FaML
CVBM
16
9
0
26 Apr 2023
An Efficient Ensemble Explainable AI (XAI) Approach for Morphed Face
  Detection
An Efficient Ensemble Explainable AI (XAI) Approach for Morphed Face Detection
Rudresh Dwivedi
Ritesh Kumar
Deepak Chopra
Pranay Kothari
Manjot Singh
CVBM
AAML
17
7
0
23 Apr 2023
Spritz-PS: Validation of Synthetic Face Images Using a Large Dataset of
  Printed Documents
Spritz-PS: Validation of Synthetic Face Images Using a Large Dataset of Printed Documents
Ehsan Nowroozi
Yoosef Habibi
Mauro Conti
CVBM
18
3
0
06 Apr 2023
PIC-Score: Probabilistic Interpretable Comparison Score for Optimal
  Matching Confidence in Single- and Multi-Biometric (Face) Recognition
PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric (Face) Recognition
Pedro C. Neto
Ana F. Sequeira
Jaime S. Cardoso
Philipp Terhörst
CVBM
14
12
0
22 Nov 2022
Exploring the Whole Rashomon Set of Sparse Decision Trees
Exploring the Whole Rashomon Set of Sparse Decision Trees
Rui Xin
Chudi Zhong
Zhi Chen
Takuya Takagi
Margo Seltzer
Cynthia Rudin
25
53
0
16 Sep 2022
Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing
Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing
Zezheng Wang
Zitong Yu
Chenxu Zhao
Xiangyu Zhu
Yunxiao Qin
Qiusheng Zhou
Feng Zhou
Zhen Lei
CVBM
38
167
0
18 Mar 2020
Searching Central Difference Convolutional Networks for Face
  Anti-Spoofing
Searching Central Difference Convolutional Networks for Face Anti-Spoofing
Zitong Yu
Chenxu Zhao
Zezheng Wang
Yunxiao Qin
Z. Su
Xiaobai Li
Feng Zhou
Guoying Zhao
CVBM
46
397
0
09 Mar 2020
Demographic Bias in Biometrics: A Survey on an Emerging Challenge
Demographic Bias in Biometrics: A Survey on an Emerging Challenge
P. Drozdowski
Christian Rathgeb
A. Dantcheva
N. Damer
C. Busch
FaML
120
199
0
05 Mar 2020
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
228
2,231
0
24 Jun 2017
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,658
0
28 Feb 2017
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