Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection

10 July 2020

Papers citing "Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection"

8 / 8 papers shown

Title
Dynamic Perturbation-Adaptive Adversarial Training on Medical Image Classification Shuai Li Xiaoguang Ma Shancheng Jiang Lu Meng AAML OOD 35 0 0 11 Mar 2024
UOD: Universal One-shot Detection of Anatomical Landmarks Heqin Zhu Quan Quan Qingsong Yao Zaiyi Liu S.Kevin Zhou ViT 23 10 0 13 Jun 2023
Relative distance matters for one-shot landmark detection Qingsong Yao Jianji Wang Yihua Sun Quan Quan Heqin Zhu S. Kevin Zhou 15 6 0 03 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
U-LanD: Uncertainty-Driven Video Landmark Detection Mohammad Jafari C. Luong Michael Y. Tsang A. Gu N. V. Woudenberg R. Rohling T. Tsang Purang Abolmaesumi 47 12 0 02 Feb 2021
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks Linhai Ma Liang Liang AAML 31 18 0 19 May 2020
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 370 10,639 0 19 Feb 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 314 3,115 0 04 Nov 2016