Backdoor Attack on Deep Learning-Based Medical Image Encryption and Decryption Network

Author:

Ding Yi1ORCID,Wang Zi1,Qin Zhen1ORCID,Zhou Erqiang1,Zhu Guobin1,Qin Zhiguang1ORCID,Choo Kim-Kwang Raymond2ORCID

Affiliation:

1. Network and Data Security Key Laboratory of Sichuan Province, School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA

Funder

National Natural Science Foundation of China

Sichuan Science and Technology Innovation Platform and Talent Plan

Sichuan Science and Technology Support Plan

Medico-Engineering Cooperation Funds from University the of Electronic Science and Technology of China

Yibin Science and Technology Support Plan

CCF-Baidu Open Fund

Cloud Technology Endowed Professorship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Reference35 articles.

1. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

2. Hidden digital watermarks in images;hsu;IEEE Trans Image Process,1999

3. HiDDeN: Hiding data with deep networks;zhu;Proc Eur Conf Comput Vis (ECCV),2018

4. BadNets: Identifying vulnerabilities in the machine learning model supply chain;gu;arXiv 1708 06733,2017

5. Research on iris image encryption based on deep learning

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