Counterfactual Image Generation for adversarially robust and interpretable Classifiers

1 October 2023

Papers citing "Counterfactual Image Generation for adversarially robust and interpretable Classifiers"

8 / 8 papers shown

Title
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images Dmytro Shvetsov Joonas Ariva M. Domnich Raul Vicente Dmytro Fishman MedIm 32 0 0 19 Apr 2024
What You See is What You Classify: Black Box Attributions Steven Stalder Nathanael Perraudin R. Achanta F. Pérez-Cruz Michele Volpi FAtt 24 9 0 23 May 2022
SUNet: Swin Transformer UNet for Image Denoising Chi-Mao Fan Tsung-Jung Liu Kuan-Hsien Liu ViT 27 111 0 28 Feb 2022
Automated Quality Control of Vacuum Insulated Glazing by Convolutional Neural Network Image Classification Henrik Riedel Sleheddine Mokdad I. Schulz C. Kocer P. Rosendahl J. Schneider M. Kraus M. Drass 9 14 0 15 Oct 2021
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 50 63 0 02 Mar 2020
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,444 0 21 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,833 0 08 Jul 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,190 0 01 Sep 2014