Toward Improving the Robustness of Deep Learning Models via Model Transformation-Reference-Cited by-同舟云学术

Toward Improving the Robustness of Deep Learning Models via Model Transformation

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering
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Author:

Zhang Yingyi¹,Wang Zan¹,Jiang Jiajun²,You Hanmo²,Chen Junjie²

Affiliation:

1. State Key Laboratory of Communication Content Cognition, China and College of Intelligence and Computing, Tianjin University, China

2. College of Intelligence and Computing, Tianjin University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3551349.3556920

Reference93 articles.

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3. Nicholas Carlini and David A. Wagner . 2017 . Towards Evaluating the Robustness of Neural Networks. 2017 IEEE Symposium on Security and Privacy, SP, 39–57 . Nicholas Carlini and David A. Wagner. 2017. Towards Evaluating the Robustness of Neural Networks. 2017 IEEE Symposium on Security and Privacy, SP, 39–57.

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5. Junjie Chen , Xiaoting He , Qingwei Lin , Hongyu Zhang , Dan Hao , Feng Gao , Zhangwei Xu , Yingnong Dang , and Dongmei Zhang . 2019 . Continuous Incident Triage for Large-Scale Online Service Systems. In 34th IEEE/ACM International Conference on Automated Software Engineering, ASE 2019. IEEE, 364–375. Junjie Chen, Xiaoting He, Qingwei Lin, Hongyu Zhang, Dan Hao, Feng Gao, Zhangwei Xu, Yingnong Dang, and Dongmei Zhang. 2019. Continuous Incident Triage for Large-Scale Online Service Systems. In 34th IEEE/ACM International Conference on Automated Software Engineering, ASE 2019. IEEE, 364–375.

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