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CIFAR-10 Adversarial Robustness - Scaling-Law Plateau and The Saturation of RobustBench by Minh Lê is a document available to read on EtoBox.

What is CIFAR-10 Adversarial Robustness - Scaling-Law Plateau and The Saturation of RobustBench about?

The CIFAR-10 adversarial robustness landscape has plateaued, with top performances showing minimal improvement since mid-2024, particularly under the ℓ∞ threat model. The current state-of-the-art models, primarily WideResNets and their variants, have reached a robust accuracy ceiling near 90%, with significant contributions from synthetic data and scaling laws. Future research is shifting focus towards certified robustness, scaling adversarial training to larger datasets like ImageNet, and reformulating thr

Author
Minh Lê
Language
EN

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