Adversarially Robust Streaming Algorithms via Differential Privacy

A streaming algorithm is said to be adversarially robust if its accuracy guarantees are maintained even when the data stream is chosen maliciously, by an adaptive adversary. We establish a connection between adversarial robustness of streaming algorithms and the notion of differential privacy. This...

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Bibliographic Details
Main Authors Hassidim, Avinatan, Kaplan, Haim, Mansour, Yishay, Matias, Yossi, Stemmer, Uri
Format Journal Article
LanguageEnglish
Published 13.04.2020
Subjects
Computer Science - Data Structures and Algorithms
Computer Science - Learning
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Summary:A streaming algorithm is said to be adversarially robust if its accuracy guarantees are maintained even when the data stream is chosen maliciously, by an adaptive adversary. We establish a connection between adversarial robustness of streaming algorithms and the notion of differential privacy. This connection allows us to design new adversarially robust streaming algorithms that outperform the current state-of-the-art constructions for many interesting regimes of parameters.
DOI:10.48550/arxiv.2004.05975