Sparse Visual Counterfactual Explanations in Image Space

16 May 2022

Matthias Hein

Papers citing "Sparse Visual Counterfactual Explanations in Image Space"

23 / 23 papers shown

Title
From Visual Explanations to Counterfactual Explanations with Latent Diffusion Tung Luu Nam Le Duc Le Bac Le DiffM AAML FAtt 39 0 0 12 Apr 2025
Improving Decision Sparsity Yiyang Sun Tong Wang Cynthia Rudin 27 0 0 27 Oct 2024
Rethinking Visual Counterfactual Explanations Through Region Constraint Bartlomiej Sobieski Jakub Grzywaczewski Bartlomiej Sadlej Matthew Tivnan P. Biecek CML 36 0 0 16 Oct 2024
CoLa-DCE -- Concept-guided Latent Diffusion Counterfactual Explanations Franz Motzkus Christian Hellert Ute Schmid DiffM 28 1 0 03 Jun 2024
Global Counterfactual Directions Bartlomiej Sobieski P. Biecek DiffM 53 4 0 18 Apr 2024
Do Counterfactual Examples Complicate Adversarial Training? Eric C. Yeats Cameron Darwin Eduardo Ortega Frank Liu Hai Li DiffM 24 0 0 16 Apr 2024
Feature Accentuation: Revealing 'What' Features Respond to in Natural Images Christopher Hamblin Thomas Fel Srijani Saha Talia Konkle George A. Alvarez FAtt 17 2 0 15 Feb 2024
Sparse and Faithful Explanations Without Sparse Models Yiyang Sun Zhi Chen Vittorio Orlandi Tong Wang Cynthia Rudin 24 2 0 15 Feb 2024
Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion Nishtha Madaan Srikanta J. Bedathur DiffM 14 0 0 21 Dec 2023
DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations Maximilian Augustin Yannic Neuhaus Matthias Hein DiffM 13 3 0 29 Nov 2023
Generating Realistic Counterfactuals for Retinal Fundus and OCT Images using Diffusion Models I. Ilanchezian Valentyn Boreiko Laura Kühlewein Ziwei Huang M. Ayhan Matthias Hein Lisa M. Koch Philipp Berens DiffM MedIm 10 4 0 20 Nov 2023
Deep Backtracking Counterfactuals for Causally Compliant Explanations Klaus-Rudolf Kladny Julius von Kügelgen Bernhard Schölkopf Michael Muehlebach BDL 11 4 0 11 Oct 2023
Latent Diffusion Counterfactual Explanations Karim Farid Simon Schrodi Max Argus Thomas Brox DiffM 22 11 0 10 Oct 2023
Diffusion-based Visual Counterfactual Explanations -- Towards Systematic Quantitative Evaluation Philipp Vaeth Alexander M. Fruehwald Benjamin Paassen Magda Gregorova DiffM 21 4 0 11 Aug 2023
Discriminative Class Tokens for Text-to-Image Diffusion Models Idan Schwartz Vésteinn Snaebjarnarson Hila Chefer Ryan Cotterell Serge J. Belongie Lior Wolf Sagie Benaim 6 9 0 30 Mar 2023
Adversarial Counterfactual Visual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 19 27 0 17 Mar 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Biwei Huang Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 33 11 0 29 Jan 2023
Spurious Features Everywhere -- Large-Scale Detection of Harmful Spurious Features in ImageNet Yannic Neuhaus Maximilian Augustin Valentyn Boreiko Matthias Hein AAML 18 29 0 09 Dec 2022
Clarity: an improved gradient method for producing quality visual counterfactual explanations Claire Theobald Frédéric Pennerath Brieuc Conan-Guez Miguel Couceiro Amedeo Napoli BDL 20 0 0 22 Nov 2022
Diffusion Visual Counterfactual Explanations Maximilian Augustin Valentyn Boreiko Francesco Croce Matthias Hein DiffM BDL 14 44 0 21 Oct 2022
Mind the box: $l_1$ -APGD for sparse adversarial attacks on image classifiers Francesco Croce Matthias Hein AAML 34 54 0 01 Mar 2021
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images K. Schutte O. Moindrot P. Hérent Jean-Baptiste Schiratti S. Jégou FAtt MedIm 21 53 0 19 Jan 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 207 668 0 19 Oct 2020