Maxwell’s Demon in MLP-Mixer: towards transferable adversarial attacks

Maxwell’s Demon in MLP-Mixer: towards transferable adversarial attacks

Abstract Models based on MLP-Mixer architecture are becoming popular, but they still suffer from adversarial examples. Although it has been shown that MLP-Mixer is more robust to adversarial attacks compared to convolutional neural networks (CNNs), there has been no research on adversarial attacks t...

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Detaylı Bibliyografya
Asıl Yazarlar: Haoran Lyu, Yajie Wang, Yu-an Tan, Huipeng Zhou, Yuhang Zhao, Quanxin Zhang
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: SpringerOpen 2024-03-01
Seri Bilgileri:Cybersecurity
Konular:
Adversarial attacks
Adversarial examples
Image classification
Online Erişim:https://doi.org/10.1186/s42400-023-00196-3

Internet

https://doi.org/10.1186/s42400-023-00196-3

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