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Robustness of Sketched Linear Classifiers to Adversarial Attacks

Linear classifiers are well-known to be vulnerable to adversarial attacks: they may predict incorrect labels for input data that are …

Ananth Mahadevan, Arpit Merchant, Yanhao Wang, Michael Mathioudakis