Adversarial Attack and Defense for Webshell Detection on Machine Learning Models

Author:

Zhang Qian1,Chen Lishen1,Yan Qiao1

Affiliation:

1. Shenzhen University,College of Computer Science and Software Engineering,Shenzhen,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference12 articles.

1. Intriguing properties of neural networks;szegedy;2nd International Conference on Learning Representations ICLR 2014 Banff AB Canada April 14-16 2014 Conference Track Proceedings,2014

2. Research on webshell detection method based on convolutional neural network;jiang;Network and Information Security,2019

3. Adversarial examples are not bugs, they are features;ilyas;Advances in Neural Information Processing Systems 32 Annual Conference on Neural Information Processing Systems 2019 NeurIPS 2019 December 8-14 2019,2019

4. The Adversarial Machine Learning Conundrum: Can the Insecurity of ML Become the Achilles' Heel of Cognitive Networks?

5. No Honor Among Thieves

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