Toward a Unified Framework for Verifying and Interpreting Learning-Based Networking Systems-Reference-Cited by-同舟云学术

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Toward a Unified Framework for Verifying and Interpreting Learning-Based Networking Systems

Published:2023-06-19 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS)
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Author:

Huang Yangfan¹,Lin Yuling²,Du Haizhou³,Chen Yijian³,Song Haohao¹,Kong Linghe⁴,Xiang Qiao¹,Li Qiang⁵,Le Franck⁶,Shu Jiwu¹

Affiliation:

1. Institute of Artificial Intelligence, Xiamen University

2. School of Informatics, Xiamen University

3. School of Computer Science and Technology, Shanghai University of Electric Power

4. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University

5. Alibaba

6. IBM Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10188660/10188690/10188716.pdf?arnumber=10188716

Reference45 articles.

1. Interpreting Deep Learning-Based Networking Systems

2. Localizing router configuration errors using minimal correction sets;gember-jacobson;ArXiv Preprint,2022

3. Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks

4. Automated Verification of Neural Networks: Advances, Challenges and Perspectives;leofante;CoRR,2018

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1. Toward Reproducing Network Research Results Using Large Language Models;Proceedings of the 22nd ACM Workshop on Hot Topics in Networks;2023-11-28

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