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Aravindan Vijayaraghavan

ورقتان في مجموعة PaperMetrix

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  1. Estimating Principal Components under Adversarial Perturbations.

    2020

    Robustness is a key requirement for widespread deployment of machine learning algorithms, and has received much attention in both statistics and computer science. We study a natural model of robustness for high-dimensional statistical estimation problems …

  2. Adversarially Robust Low Dimensional Representations

    2021 · arXiv (Cornell University)

    Many machine learning systems are vulnerable to small perturbations made to inputs either at test time or at training time. This has received much recent interest on the empirical front due to applications where reliability …