Call White Black: Enhanced Image-Scaling Attack in Industrial Artificial Intelligence Systems-Reference-Cited by-同舟云学术

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Call White Black: Enhanced Image-Scaling Attack in Industrial Artificial Intelligence Systems

Published:2024-04 Issue:4 Volume:20 Page:6222-6233
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Li Junjian¹^ORCID,Chen Honglong¹^ORCID,Sun Peng²^ORCID,Wang Zhibo³^ORCID,Ni Zhichen¹^ORCID,Liu Weifeng¹^ORCID

Affiliation:

1. College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China

2. College of Computer Science and Electronic Engineering, Hunan University, Changsha, China

3. School of Cyber Science and Technology, Zhejiang University, Hangzhou, China

Funder

Shandong Provincial Natural Science Foundation, China

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province, China

Graduate Innovation Projects of China University of Petroleum

Fundamental Research Funds for the Central Universities, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9424/10492621/10378653.pdf?arnumber=10378653

Reference36 articles.

1. Artificial Intelligence in Industrial Systems

2. Trustworthy and Reliable Deep-Learning-Based Cyberattack Detection in Industrial IoT

3. Distribution Bias Aware Collaborative Generative Adversarial Network for Imbalanced Deep Learning in Industrial IoT

4. Combinatorial Analysis for Securing IoT-Assisted Industry 4.0 Applications From Vulnerability-Based Attacks

5. Seeing is not believing: Camouflage attacks on image scaling algorithms;Xiao,2019

Cited by 2 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. IBAQ: Frequency-Domain Backdoor Attack Threatening Autonomous Driving via Quadratic Phase;ACM Transactions on Autonomous and Adaptive Systems;2024-06-19

2. Generative Adversarial Network Based Image-Scaling Attack and Defense Modeling;IEEE Transactions on Emerging Topics in Computational Intelligence;2024

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