Attribution-based Explanations that Provide Recourse Cannot be Robust

Attribution-based Explanations that Provide Recourse Cannot be Robust

31 May 2022

Papers citing "Attribution-based Explanations that Provide Recourse Cannot be Robust"

16 / 16 papers shown

Title
Fourier Feature Attribution: A New Efficiency Attribution Method Zechen Liu Feiyang Zhang Wei Song X. Li Wei Wei FAtt 57 0 0 02 Apr 2025
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse Seung Hyun Cheon Anneke Wernerfelt Sorelle A. Friedler Berk Ustun FaML FAtt 35 0 0 29 Oct 2024
Provably Better Explanations with Optimized Aggregation of Feature Attributions Thomas Decker Ananta R. Bhattarai Jindong Gu Volker Tresp Florian Buettner 18 2 0 07 Jun 2024
Robust Knowledge Extraction from Large Language Models using Social Choice Theory Nico Potyka Yuqicheng Zhu Yunjie He Evgeny Kharlamov Steffen Staab 16 3 0 22 Dec 2023
A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep Counterfactuals Kwanseok Oh Da-Woon Heo A. Mulyadi Wonsik Jung Eunsong Kang Kun Ho Lee Heung-Il Suk 19 1 0 05 Oct 2023
Don't trust your eyes: on the (un)reliability of feature visualizations Robert Geirhos Roland S. Zimmermann Blair Bilodeau Wieland Brendel Been Kim FAtt OOD 18 25 0 07 Jun 2023
Explainable Contextual Anomaly Detection using Quantile Regression Forests Zhong Li M. Leeuwen AI4TS 37 15 0 22 Feb 2023
Impossibility Theorems for Feature Attribution Blair Bilodeau Natasha Jaques Pang Wei Koh Been Kim FAtt 18 68 0 22 Dec 2022
Do graph neural networks learn traditional jet substructure? Farouk Mokhtar Raghav Kansal Javier Mauricio Duarte GNN 23 11 0 17 Nov 2022
SoK: Explainable Machine Learning for Computer Security Applications A. Nadeem D. Vos Clinton Cao Luca Pajola Simon Dieck Robert Baumgartner S. Verwer 12 40 0 22 Aug 2022
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
OpenXAI: Towards a Transparent Evaluation of Model Explanations Chirag Agarwal Dan Ley Satyapriya Krishna Eshika Saxena Martin Pawelczyk Nari Johnson Isha Puri Marinka Zitnik Himabindu Lakkaraju XAI 6 140 0 22 Jun 2022
RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model Hangzhi Guo Feiran Jia Jinghui Chen Anna Squicciarini A. Yadav OOD 26 7 0 01 Jun 2022
On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations M. Virgolin Saverio Fracaros CML 24 36 0 22 Jan 2022
Consistent Counterfactuals for Deep Models Emily Black Zifan Wang Matt Fredrikson Anupam Datta BDL OffRL OOD 41 43 0 06 Oct 2021
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,672 0 28 Feb 2017