On the Robustness of Removal-Based Feature Attributions

12 June 2023

Papers citing "On the Robustness of Removal-Based Feature Attributions"

13 / 13 papers shown

Title
Probabilistic Stability Guarantees for Feature Attributions Helen Jin Anton Xue Weiqiu You Surbhi Goel Eric Wong 19 0 0 18 Apr 2025
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
shapiq: Shapley Interactions for Machine Learning Maximilian Muschalik Hubert Baniecki Fabian Fumagalli Patrick Kolpaczki Barbara Hammer Eyke Hüllermeier TDI 27 9 0 02 Oct 2024
Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek FAtt 44 3 0 26 Jun 2024
On the Robustness of Global Feature Effect Explanations Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek 18 2 0 13 Jun 2024
Provably Better Explanations with Optimized Aggregation of Feature Attributions Thomas Decker Ananta R. Bhattarai Jindong Gu Volker Tresp Florian Buettner 22 2 0 07 Jun 2024
Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective Ningsheng Zhao Jia Yuan Yu Krzysztof Dzieciolowski Trang Bui TDI FAtt 19 2 0 21 Apr 2024
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution Ian Covert Chanwoo Kim Su-In Lee James Y. Zou Tatsunori Hashimoto TDI 27 7 0 29 Jan 2024
Adversarial attacks and defenses in explainable artificial intelligence: A survey Hubert Baniecki P. Biecek AAML 42 63 0 06 Jun 2023
Shapley Curves: A Smoothing Perspective Ratmir Miftachov Georg Keilbar Wolfgang Karl Härdle FAtt 30 1 0 23 Nov 2022
Ensembling improves stability and power of feature selection for deep learning models P. Gyawali Xiaoxia Liu James Y. Zou Zihuai He OOD FedML 27 6 0 02 Oct 2022
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 226 1,835 0 03 Feb 2017
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 263 5,833 0 08 Jul 2016