Boosting Adversarial Training with Hardness-Guided Attack Strategy-Reference-Cited by-同舟云学术

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Boosting Adversarial Training with Hardness-Guided Attack Strategy

Published:2024 Issue: Volume:26 Page:7748-7760
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

He Shiyuan¹^ORCID,Wei Jiwei¹^ORCID,Zhang Chaoning²^ORCID,Xu Xing¹^ORCID,Song Jingkuan¹^ORCID,Yang Yang¹^ORCID,Shen Heng Tao¹^ORCID

Affiliation:

1. Center for Future Media and School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. School of Electrical Engineering, Robotics and Computer Vision Laboratory, Korea Advanced Institute of Science and Technology, Daejeon, South Korea

Funder

National Natural Science Foundation of China

Sichuan Province Innovative Talent Funding

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6046/10384483/10453970.pdf?arnumber=10453970

Reference68 articles.

1. Explaining and harnessing adversarial examples;Goodfellow,2015

2. Intriguing properties of neural networks;Szegedy,2014

3. Targeted Attack for Deep Hashing Based Retrieval

4. Targeted attack against deep neural networks via flipping limited weight bits;Bai,2021

5. Boosting Adversarial Attacks with Momentum

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