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Denoised Smoothing: A Provable Defense for Pretrained Classifiers
Papers citing "Denoised Smoothing: A Provable Defense for Pretrained Classifiers"
16 / 16 papers shown
Title |
|---|
 DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust
ClassifiersNeural Information Processing Systems (NeurIPS), 2023 |
 Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image
ClassificationIEEE International Conference on Computer Vision (ICCV), 2022 |
 On the Certified Robustness for Ensemble Models and BeyondInternational Conference on Learning Representations (ICLR), 2021 |
 Almost Tight L0-norm Certified Robustness of Top-k Predictions against
Adversarial PerturbationsInternational Conference on Learning Representations (ICLR), 2020 |
 Learning perturbation sets for robust machine learningInternational Conference on Learning Representations (ICLR), 2020 Eric Wong J. Zico Kolter |
 Adversarial robustness via robust low rank representationsNeural Information Processing Systems (NeurIPS), 2020 |
 Randomized Smoothing of All Shapes and SizesInternational Conference on Machine Learning (ICML), 2020 |
