Generalizability vs. Robustness: Adversarial Examples for Medical
Imaging

Generalizability vs. Robustness: Adversarial Examples for Medical Imaging

23 March 2018

Magdalini Paschali

Sailesh Conjeti

Fernando Navarro

Nassir Navab

Papers citing "Generalizability vs. Robustness: Adversarial Examples for Medical Imaging"

19 / 19 papers shown

Title
Can We Revitalize Interventional Healthcare with AI-XR Surgical Metaverses? Adnan Qayyum Muhammad Bilal Muhammad Hadi Paweł Capik Massimo Caputo H. Vohra Ala I. Al-Fuqaha Junaid Qadir 39 6 0 25 Mar 2023
On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices Salah Ghamizi Maxime Cordy Michail Papadakis Yves Le Traon OOD 11 2 0 15 Dec 2022
Private and Reliable Neural Network Inference Nikola Jovanović Marc Fischer Samuel Steffen Martin Vechev 27 14 0 27 Oct 2022
The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion) Shuo Wang C. Qin Chengyan Wang Kang Wang Haoran Wang ... Zhang Shi Chenchen Dai Xin Chen He Wang Wenjia Bai 38 13 0 12 Oct 2022
Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs Prashant Pandey Aleti Vardhan Mustafa Chasmai Tanuj Sur Brejesh Lall AAML 27 9 0 07 Oct 2022
The Consistency of Adversarial Training for Binary Classification Natalie Frank Jonathan Niles-Weed AAML 48 5 0 18 Jun 2022
AutoMO-Mixer: An automated multi-objective Mixer model for balanced, safe and robust prediction in medicine Xinyu Chen Jiahuan Lv Dehua Feng X. Mou L. Bai Shu Zhang Zhiguo Zhou 27 1 0 04 Mar 2022
Medical Aegis: Robust adversarial protectors for medical images Qingsong Yao Zecheng He S. Kevin Zhou AAML MedIm 30 2 0 22 Nov 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation Chen Chen C. Qin Cheng Ouyang Zeju Li Shuo Wang Huaqi Qiu Liang Chen G. Tarroni Wenjia Bai Daniel Rueckert GAN MedIm 62 40 0 07 Aug 2021
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training Yunhe Gao Zhiqiang Tang Mu Zhou Dimitris N. Metaxas MedIm 25 18 0 30 Mar 2021
Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack Mengting Xu Tao Zhang Zhongnian Li Mingxia Liu Daoqiang Zhang AAML OOD MedIm 33 41 0 05 Mar 2021
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples Yingwei Li Zhuotun Zhu Yuyin Zhou Yingda Xia Wei Shen Elliot K. Fishman Alan Yuille MedIm 35 23 0 29 Oct 2020
Bias Field Poses a Threat to DNN-based X-Ray Recognition Binyu Tian Qing Guo Felix Juefei Xu W. L. Chan Yupeng Cheng Xiaohong Li Xiaofei Xie Shengchao Qin AAML AI4CE 36 33 0 19 Sep 2020
Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains Quande Liu Qi Dou Pheng-Ann Heng OOD 38 194 0 04 Jul 2020
Legal Risks of Adversarial Machine Learning Research Ramnath Kumar J. Penney B. Schneier Kendra Albert AAML ELM SILM 17 8 0 29 Jun 2020
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks Linhai Ma Liang Liang AAML 31 18 0 19 May 2020
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks Siqi Liu A. Setio Florin-Cristian Ghesu Eli Gibson Sasa Grbic Bogdan Georgescu Dorin Comaniciu AAML OOD 33 40 0 08 Mar 2020
Metric Learning for Adversarial Robustness Chengzhi Mao Ziyuan Zhong Junfeng Yang Carl Vondrick Baishakhi Ray OOD 27 184 0 03 Sep 2019
Adversarial Attacks Against Medical Deep Learning Systems S. G. Finlayson Hyung Won Chung I. Kohane Andrew L. Beam SILM AAML OOD MedIm 25 230 0 15 Apr 2018