Impact of Adversarial Examples on Deep Learning Models for Biomedical
Image Segmentation

Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation

30 July 2019

Arnout Van Messem

Papers citing "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation"

10 / 10 papers shown

Title
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging Yimu Pan Sitao Zhang Alison D. Gernand Jeffery A. Goldstein J. Z. Wang 72 1 0 17 Dec 2024
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks Nuo Xu Binghui Wang Ran Ran Wujie Wen Parv Venkitasubramaniam AAML 18 5 0 11 Jun 2022
Exact Feature Collisions in Neural Networks Utku Ozbulak Manvel Gasparyan Shodhan Rao W. D. Neve Arnout Van Messem AAML 19 1 0 31 May 2022
MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attack Mengting Xu Tao Zhang Daoqiang Zhang AAML MedIm 13 23 0 29 Nov 2021
Medical Aegis: Robust adversarial protectors for medical images Qingsong Yao Zecheng He S. Kevin Zhou AAML MedIm 19 2 0 22 Nov 2021
Towards Robust General Medical Image Segmentation Laura Alexandra Daza Juan C. Pérez Pablo Arbelaez OOD 20 25 0 09 Jul 2021
Learning Defense Transformers for Counterattacking Adversarial Examples Jincheng Li Jiezhang Cao Yifan Zhang Jian Chen Mingkui Tan AAML 29 2 0 13 Mar 2021
Bias Field Poses a Threat to DNN-based X-Ray Recognition Binyu Tian Qing-Wu Guo Felix Juefei Xu W. L. Chan Yupeng Cheng Xiaohong Li Xiaofei Xie Shengchao Qin AAML AI4CE 24 33 0 19 Sep 2020
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks Linhai Ma Liang Liang AAML 18 18 0 19 May 2020
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 281 5,835 0 08 Jul 2016