 Beyond Model Interpretability: On the Faithfulness and Adversarial
Robustness of Contrastive Textual ExplanationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Counterfactual Explanations and Algorithmic Recourses for Machine
Learning: A ReviewACM Computing Surveys (ACM CSUR), 2020 |