Hiding in Plain Sight: Adversarial Attack via Style Transfer on Image Borders-Reference-Cited by-同舟云学术

Hiding in Plain Sight: Adversarial Attack via Style Transfer on Image Borders

Published:2024-10 Issue:10 Volume:73 Page:2405-2419
ISSN:0018-9340
Container-title:IEEE Transactions on Computers
language:
Short-container-title:IEEE Trans. Comput.

Author:

Zhang Haiyan¹^ORCID,Li Xinghua¹^ORCID,Tang Jiawei¹^ORCID,Peng Chunlei¹^ORCID,Wang Yunwei¹^ORCID,Zhang Ning²^ORCID,Miao Yingbin¹^ORCID,Liu Ximeng³^ORCID,Choo Kim-Kwang Raymond⁴^ORCID

Affiliation:

1. State Key Laboratory of Integrated Services Networks, and the School of Cyber Engineering, Xidian University, Xi’an, China

2. Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, MO, USA

3. College of Computer and Data Science, Fuzhou University, Fuzhou, China

4. Department of Information Systems and Cyber Security and Department of Electrical and Computer Engineering, The University of Texas at San Antonio, San Antonio, TX, USA

Funder

National Natural Science Foundation of China

China 111 Project

Key Research and Development Projects of Shaanxi Province

Fundamental Research Funds for the Central Universities

Cloud Technology Endowed Professorship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/12/10670154/10565292.pdf?arnumber=10565292

Reference38 articles.

1. LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks

2. Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning

3. One Pixel Attack for Fooling Deep Neural Networks

4. SparseFool: A Few Pixels Make a Big Difference

5. GreedyFool: Distortion-aware sparse adversarial attack;Dong,2020