Relationship between Model Compression and Adversarial Robustness: A Review of Current Evidence-Reference-Cited by-同舟云学术

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Relationship between Model Compression and Adversarial Robustness: A Review of Current Evidence

Published:2023-12-05 Issue: Volume:absI1704.04861 Page:671-676
ISSN:
Container-title:2023 IEEE Symposium Series on Computational Intelligence (SSCI)
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Author:

Pavlitska Svetlana¹,Grolig Hannes²,Zollner J. Marius¹

Affiliation:

1. FZI Research Center for Information Technology

2. Karlsruhe Institute of Technology (KIT),Karlsruhe,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10371778/10371788/10371946.pdf?arnumber=10371946

Reference67 articles.

1. Explaining and harnessing adversarial examples;Goodfellow

2. Intriguing properties of neural networks;Szegedy

3. Adversarial training for free!;Shafahi;Advances in Neural Information Processing Systems (NIPS),2019

4. Bag of Tricks for Adversarial Training;Pang

5. Adversarial robustness against the union of multiple perturbation models;Maini

Cited by 1 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. Iterative Filter Pruning for Concatenation-based CNN Architectures;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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