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Adversarially robust transfer learning., , , , , , and . ICLR, OpenReview.net, (2020)Batch-wise Logit-Similarity: Generalizing Logit-Squeezing and Label-Smoothing., , , , , and . BMVC, page 72. BMVA Press, (2019)Breaking Certified Defenses: Semantic Adversarial Examples with Spoofed robustness Certificates., , and . ICLR, OpenReview.net, (2020)What do Vision Transformers Learn? A Visual Exploration., , , , , , , and . CoRR, (2022)Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations., , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 7484-7512. PMLR, (2022)The Uncanny Similarity of Recurrence and Depth., , , , and . ICLR, OpenReview.net, (2022)Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff., , , , , , , and . CoRR, (2020)Adversarially robust transfer learning., , , , , , and . CoRR, (2019)Towards Accurate Quantization and Pruning via Data-free Knowledge Transfer., , , , , and . CoRR, (2020)Adversarial training for free!, , , , , , , , and . NeurIPS, page 3353-3364. (2019)