Adversarial Sample Attack and Defense Method for Encrypted Traffic Data-Reference-Cited by-同舟云学术

Adversarial Sample Attack and Defense Method for Encrypted Traffic Data

Author:

Ding Yi¹^ORCID,Zhu Guiqin²,Chen Dajiang²^ORCID,Qin Xue³,Cao Mingsheng²^ORCID,Qin Zhiguang²^ORCID

Affiliation:

1. Network and Data Security Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, Sichuan, China

2. Network and Data Security Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China

3. Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada

Funder

National Natural Science Foundation of China

Sichuan Science and Technology Innovation Platform and Talent Plan

Sichuan Science and Technology Support Plan

“The Verification Platform of Multi-Tier Coverage Communication Network for Oceans”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference36 articles.

5. Towards deep learning models resistant to adversarial attacks;madry;arXiv 1706 06083,2017

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