Adversarial Attack and Defense for Medical Image Analysis: Methods and
Applications

Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications

24 March 2023

Xiaohua Xie

Papers citing "Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications"

8 / 8 papers shown

Title
Adversarial Robustness Analysis of Vision-Language Models in Medical Image Segmentation Anjila Budathoki Manish Dhakal AAML 28 0 0 05 May 2025
Assessing Robustness via Score-Based Adversarial Image Generation Marcel Kollovieh Lukas Gosch Yan Scholten Marten Lienen Leo Schwinn Stephan Günnemann DiffM 35 4 0 06 Oct 2023
Robust deep learning-based semantic organ segmentation in hyperspectral images Silvia Seidlitz Jiansheng Fang Jan Odenthal Berkin Özdemir H. Fu ... Jiang-Dong Liu Martin Wagner Felix Nickel Beat P. Müller-Stich Lena Maier-Hein 27 8 0 09 Nov 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation C. L. P. Chen C. Qin C. Ouyang Zeju Li Shuo Wang Huaqi Qiu Liang Chen G. Tarroni Wenjia Bai Daniel Rueckert GAN MedIm 54 40 0 07 Aug 2021
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao B. Wen Qian Wang AAML 71 473 0 02 Feb 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 217 675 0 19 Oct 2020
Transferable Adversarial Attacks for Image and Video Object Detection Xingxing Wei Siyuan Liang Ning Chen Xiaochun Cao AAML 72 220 0 30 Nov 2018
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 435 15,595 0 02 Nov 2015