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Are Your Explanations Reliable? Investigating the Stability of LIME in
  Explaining Text Classifiers by Marrying XAI and Adversarial Attack

Are Your Explanations Reliable? Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack

21 May 2023
Christopher Burger
Lingwei Chen
Thai Le
    FAtt
    AAML
ArXivPDFHTML

Papers citing "Are Your Explanations Reliable? Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack"

4 / 4 papers shown
Title
The Effect of Similarity Measures on Accurate Stability Estimates for Local Surrogate Models in Text-based Explainable AI
The Effect of Similarity Measures on Accurate Stability Estimates for Local Surrogate Models in Text-based Explainable AI
Christopher Burger
Charles Walter
Thai Le
AAML
146
1
0
20 Jan 2025
An Analysis of LIME for Text Data
An Analysis of LIME for Text Data
Dina Mardaoui
Damien Garreau
FAtt
129
45
0
23 Oct 2020
Looking Deeper into Tabular LIME
Looking Deeper into Tabular LIME
Damien Garreau
U. V. Luxburg
FAtt
LMTD
104
30
0
25 Aug 2020
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
227
3,681
0
28 Feb 2017
1