Introducing Competition to Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup

Author:

Byun Junyoung1,Kwon Myung-Joon1,Cho Seungju1,Kim Yoonji1,Kim Changick1

Affiliation:

1. Korea Advanced Institute of Science and Technology (KAIST)

Publisher

IEEE

Reference38 articles.

1. Intermediate level adversarial attack for enhanced transferability;huang;ArXiv Preprint,2018

2. Dverge: diversifying vulnerabilities for enhanced robust generation of ensembles;yang;Advances in neural information processing systems,0

3. Densely Connected Convolutional Networks

4. Improving Transferability of Adversarial Examples With Input Diversity

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3. UCG: A Universal Cross-Domain Generator for Transferable Adversarial Examples;IEEE Transactions on Information Forensics and Security;2024

4. Non-targeted Adversarial Attacks on Object Detection Models;Lecture Notes in Computer Science;2024

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