Revisiting the robustness of post-hoc interpretability methods

Revisiting the robustness of post-hoc interpretability methods

29 July 2024

Papers citing "Revisiting the robustness of post-hoc interpretability methods"

13 / 13 papers shown

Title
Explainable AI for clinical and remote health applications: a survey on tabular and time series data Flavio Di Martino Franca Delmastro AI4TS 33 93 0 14 Sep 2022
Rethinking Stability for Attribution-based Explanations Chirag Agarwal Nari Johnson Martin Pawelczyk Satyapriya Krishna Eshika Saxena Marinka Zitnik Himabindu Lakkaraju FAtt 49 50 0 14 Mar 2022
Evaluating and Aggregating Feature-based Model Explanations Umang Bhatt Adrian Weller J. M. F. Moura XAI 70 219 0 01 May 2020
Explanations can be manipulated and geometry is to blame Ann-Kathrin Dombrowski Maximilian Alber Christopher J. Anders M. Ackermann K. Müller Pan Kessel AAML FAtt 44 329 0 19 Jun 2019
Fooling Neural Network Interpretations via Adversarial Model Manipulation Juyeon Heo Sunghwan Joo Taesup Moon AAML FAtt 68 201 0 06 Feb 2019
The UCR Time Series Archive Hoang Anh Dau A. Bagnall Kaveh Kamgar Chin-Chia Michael Yeh Yan Zhu Shaghayegh Gharghabi C. Ratanamahatana Eamonn Keogh 33 819 0 17 Oct 2018
Deep learning for time series classification: a review Hassan Ismail Fawaz Germain Forestier J. Weber L. Idoumghar Pierre-Alain Muller AI4TS AI4CE 228 2,668 0 12 Sep 2018
On the Robustness of Interpretability Methods David Alvarez-Melis Tommi Jaakkola 50 524 0 21 Jun 2018
Towards Robust Interpretability with Self-Explaining Neural Networks David Alvarez-Melis Tommi Jaakkola MILM XAI 94 938 0 20 Jun 2018
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models Wojciech Samek Thomas Wiegand K. Müller XAI VLM 48 1,186 0 28 Aug 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 96 3,848 0 10 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 85 5,920 0 04 Mar 2017
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 244 15,825 0 12 Nov 2013