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On the Robustness of Explanations of Deep Neural Network Models: A
  Survey

On the Robustness of Explanations of Deep Neural Network Models: A Survey

9 November 2022
Amlan Jyoti
Karthik Balaji Ganesh
Manoj Gayala
Nandita Lakshmi Tunuguntla
Sandesh Kamath
V. Balasubramanian
    XAI
    FAtt
    AAML
ArXivPDFHTML

Papers citing "On the Robustness of Explanations of Deep Neural Network Models: A Survey"

5 / 5 papers shown
Title
Revisiting the robustness of post-hoc interpretability methods
Revisiting the robustness of post-hoc interpretability methods
Jiawen Wei
Hugues Turbé
G. Mengaldo
AAML
34
4
0
29 Jul 2024
A Survey on Physical Adversarial Attack in Computer Vision
A Survey on Physical Adversarial Attack in Computer Vision
Donghua Wang
Wen Yao
Tingsong Jiang
Guijian Tang
Xiaoqian Chen
AAML
51
38
0
28 Sep 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of
  Deep Neural Networks
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks
Tilman Raukur
A. Ho
Stephen Casper
Dylan Hadfield-Menell
AAML
AI4CE
18
124
0
27 Jul 2022
Exploiting the Relationship Between Kendall's Rank Correlation and
  Cosine Similarity for Attribution Protection
Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection
Fan Wang
A. Kong
53
10
0
15 May 2022
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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