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9 search results found

Understanding Fast Adv Training ⭐ 67

Understanding and Improving Fast Adversarial Training [NeurIPS 2020]

Revisiting At ⭐ 31

Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models"

Adversarial Distributional Training ⭐ 31

Adversarial Distributional Training (NeurIPS 2020)

Learnable Boundary Guided Adversarial Training (ICCV2021)

Robust Semantic Segmentation ⭐ 17

Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation （ICCV2021）

Double Win Quant ⭐ 9

[ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inference" by Yonggan Fu, Qixuan Yu, Meng Li, Vikas Chandra, Yingyan Lin

At_papers ⭐ 7

Must-read papers on Adversarial training for neural networks！

Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training

Lipschitz-Certifiable Training with a Tight Outer Bound [NeurIPS 2020] | BCP (Box Constraint Propagation) | ⚡💪🛡️

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