Attention‐guided transformation‐invariant attack for black‐box adversarial examples-Reference-Cited by-同舟云学术

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Attention‐guided transformation‐invariant attack for black‐box adversarial examples

Published:2022-01-11 Issue:5 Volume:37 Page:3142-3165
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Zhu Jiaqi¹^ORCID,Dai Feng²^ORCID,Yu Lingyun¹³^ORCID,Xie Hongtao¹^ORCID,Wang Lidong⁴^ORCID,Wu Bo⁵^ORCID,Zhang Yongdong¹^ORCID

Affiliation:

1. School of Information Science and Technology University of Science and Technology of China Hefei China

2. Key Laboratory of Intelligent Information Processing Chinese Academy of Sciences Beijing China

3. Institute of Artificial Intelligence Hefei Comprehensive National Science Center Hefei China

4. Beijing Radio and TV Station Beijing China

5. MIT‐IBM Watson AI Lab Cambridge Massachusetts USA

Publisher

Hindawi Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22808

Reference58 articles.

1. PeilC SparvieroS.Media convergence meets deconvergence. In: Media Convergence and Deconvergence. Springer;2017:3‐30.

2. Researching Media Convergence and Crossmedia News Production

3. DuanP.Prospects for media convergence. In: Media Convergence and the Development Strategies of Radio and Television in China. Springer;2020:145‐166.

4. Multimodal Graph-Based Reranking for Web Image Search

5. WangY MaF JinZ et al.EANN: event adversarial neural networks for multi‐modal fake news detection. In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining;2018:849‐857.

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