Boosting transferability of targeted adversarial examples with non-robust feature alignment-Reference-Cited by-同舟云学术

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Boosting transferability of targeted adversarial examples with non-robust feature alignment

Published:2023-10 Issue: Volume:227 Page:120248
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Zhu Hegui^ORCID,Sui Xiaoyan,Ren Yuchen^ORCID,Jia Yanmeng,Zhang Libo

Funder

Natural Science Foundation of Liaoning Province

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference54 articles.

1. Deep learning algorithm for autonomous driving using GoogLeNet;Al-Qizwini,2017

2. Medical image denoising using bilateral filter;Bhonsle;International Journal of Image, Graphics and Signal Processing,2012

3. Evasion attacks against machine learning at test time;Biggio,2013

4. Towards evaluating the robustness of neural networks;Carlini,2017

5. ZOO;Chen,2017

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2. Efficient polar coordinates attack with adaptive activation strategy;Expert Systems with Applications;2024-09

3. Dynamic loss yielding more transferable targeted adversarial examples;Neurocomputing;2024-07

4. Frequency-based methods for improving the imperceptibility and transferability of adversarial examples;Applied Soft Computing;2024-01

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