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DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations., , , , , , , , и . CoRR, (2021)Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff., , , , , , , и . ICASSP, стр. 3855-3859. IEEE, (2021)Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability., , , , , и . NeurIPS, (2022)Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff., , , , , , , и . CoRR, (2020)End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking., , , , , , и . CoRR, (2022)Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries., , , , , , и . CoRR, (2022)Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries., , , , , , и . ICLR, OpenReview.net, (2023)Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability., , , , , и . CoRR, (2021)Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise., , , , , , , , и . CoRR, (2022)Datasets for Studying Generalization from Easy to Hard Examples., , , , , , , и . CoRR, (2021)