Adversarial Attacks to Machine Learning-Based Smart Healthcare Systems

7 October 2020

Papers citing "Adversarial Attacks to Machine Learning-Based Smart Healthcare Systems"

7 / 7 papers shown

Title
Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization Ehsan Nowroozi Mohammadreza Mohammadi Pargol Golmohammadi Yassine Mekdad Mauro Conti Selcuk Uluagac AAML SILM 27 13 0 11 Sep 2022
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 31 55 0 05 Dec 2021
A Novel Framework for Threat Analysis of Machine Learning-based Smart Healthcare Systems Nur Imtiazul Haque M. Rahman Md Hasan Shahriar Alvi Ataur Khalil Selcuk Uluagac 14 14 0 05 Mar 2021
Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review Dongrui Wu Jiaxin Xu Weili Fang Yi Zhang Liuqing Yang Xiaodong Xu Hanbin Luo Xiang Yu AAML 19 25 0 04 Feb 2021
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges Kashif Ahmad Majdi Maabreh M. Ghaly Khalil Khan Junaid Qadir Ala I. Al-Fuqaha 19 142 0 14 Dec 2020
A Survey on Security and Privacy Issues in Modern Healthcare Systems: Attacks and Defenses Akm Iqtidar Newaz A. Sikder Mohammad Ashiqur Rahman A. S. Uluagac 46 173 0 15 May 2020
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks E. Choi Siddharth Biswal B. Malin J. Duke Walter F. Stewart Jimeng Sun SyDa GAN 145 569 0 19 Mar 2017