[New Model] <xxy2024mimir>

[xiaoyunxxy]

Paper Information

• Paper Title: MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness
• Paper URL: https://arxiv.org/abs/2312.04960
• Paper authors: Xiaoyun Xu, Shujian Yu, Zhuoran Liu, Stjepan Picek

Leaderboard Claim(s)

Model 1

• Architecture: Swin-base
• Dataset: ImageNet-1K
• Threat Model: Linf
• eps: 4/255
• Clean accuracy: 76.62
• Robust accuracy: 55.90
• Additional data: false
• Evaluation method: AutoAttack
• Checkpoint and code: checkpoint code log.

Model 2

• Architecture: Swin-large
• Dataset: ImageNet-1K
• Threat Model: Linf
• eps: 4/255
• Clean accuracy: 78.62
• Robust accuracy: 59.68
• Additional data: false
• Evaluation method: AutoAttack
• Checkpoint and code: checkpoint code log

The pre-process of ImageNet-1K for evaluation can be found here, link

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