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Poster
Adversarially Robust Streaming Algorithms via Differential Privacy
Avinatan Hassidim · Haim Kaplan · Yishay Mansour · Yossi Matias · Uri Stemmer
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.
Author Information
Avinatan Hassidim (Google)
Haim Kaplan (TAU, GOOGLE)
Yishay Mansour (Tel Aviv University / Google)
Yossi Matias (Google)
Uri Stemmer (Ben-Gurion University and Google Research)
Related Events (a corresponding poster, oral, or spotlight)
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2020 Oral: Adversarially Robust Streaming Algorithms via Differential Privacy »
Tue. Dec 8th 02:00 -- 02:15 PM Room Orals & Spotlights: Social/Privacy
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