A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks-Reference-Cited by-同舟云学术

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A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Future Networks World Forum (FNWF)
language:
Short-container-title:

Author:

Kuzlu Murat¹,Catak Ferhat Ozgur²,Sarp Salih³,Cali Umit⁴,Gueler Oezguer⁵

Affiliation:

1. Old Dominion University,Electrical Engineering Technology,Norfolk,VA,USA

2. University of Stavanger,Department of Electrical Engineering and Computer Science,Rogaland,Norway

3. Electrical and Computer Engineering, Virginia Commonwealth University,Richmond,VA,USA

4. Norwegian University of Science and Technology,Department of Electric Power Engineering,Trondheim,Norway

5. eKare, Inc.,Fairfax,VA,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10056380/10056381/10056645.pdf?arnumber=10056645

Reference15 articles.

1. Adversarial examples in the physical world;kurakin;ArXiv e-prints,2016

2. Explaining and Harnessing Adversarial Examples;goodfellow;ArXiv e-prints,2014

3. Boosting Ad- versarial Attacks with Momentum;dong;ArXiv e-prints,2017

4. Towards Deep Learning Models Resistant to Adversarial Attacks;madry;ArXiv e-prints,2017

5. Adversarial attack on DL-based massive MIMO CSI feedback

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