MAEDefense: An Effective Masked AutoEncoder Defense against Adversarial Attacks - researchr publication authors

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Wanli Lyu, Mengjiang Wu, Zhaoxia Yin, Bin Luo 0001. MAEDefense: An Effective Masked AutoEncoder Defense against Adversarial Attacks. In Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023, Taipei, Taiwan, October 31 - Nov. 3, 2023. pages 1915-1922, IEEE, 2023. [doi]

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