Adversarial Vulnerability of Deep Learning Models in Analyzing Next Generation Sequencing Data-Reference-Cited by-同舟云学术

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Adversarial Vulnerability of Deep Learning Models in Analyzing Next Generation Sequencing Data

Published:2020-12-16 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Meiseles Amiel,Rosenberg Ishai,Motro Yair,Rokach Lior,Moran-Gilad Jacob

Funder

Ministry of Science and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9312958/9312977/09313421.pdf?arnumber=9313421

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Systematically Assessing the Security Risks of AI/ML-enabled Connected Healthcare Systems;2024 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE);2024-06-19

2. Security Vulnerabilities and Countermeasures for the Biomedical Data Life Cycle;Cyberbiosecurity;2023

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