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

21 May 2023

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

7 / 7 papers shown

Title
Q-FAKER: Query-free Hard Black-box Attack via Controlled Generation CheolWon Na YunSeok Choi Jee-Hyong Lee AAML 37 0 0 18 Apr 2025
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 148 1 0 20 Jan 2025
Towards Robust and Accurate Stability Estimation of Local Surrogate Models in Text-based Explainable AI Christopher Burger Charles Walter Thai Le Lingwei Chen AAML 26 0 0 03 Jan 2025
Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations Supriya Manna Niladri Sett AAML 29 2 0 26 Sep 2024
An Analysis of LIME for Text Data Dina Mardaoui Damien Garreau FAtt 134 45 0 23 Oct 2020
Looking Deeper into Tabular LIME Damien Garreau U. V. Luxburg FAtt LMTD 109 30 0 25 Aug 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,690 0 28 Feb 2017