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Adversarially Robust Streaming Algorithms

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Speaker: Amit Chakrabarti Description: The EnCORE Workshop: New Horizons for Adaptive The 2nd International Conference on Signal Processing and Machine Learning (CONF-SPML 2022) Title: Speaker: Yuhan Liu Description: The EnCORE Workshop: New Horizons for Adaptive Abstract: We introduce difference estimators for data Talk by Elena Gribelyuk, joint work with Honghao Lin, David P. Woodruff, Huacheng Yu and, Samson Zhou. Title: A Colloquium online lecture by Eylon Yogev, Jan 4, 2021, at The School of Computer Science and Engineering, The Hebrew ...

13th Innovations in Theoretical Computer Science Conference (ITCS 2022) Speaker: David P Woodruff Description: The EnCORE Workshop: New Horizons for Adaptive Eylon Yogev, The Adversarial Robustness of Sampling The talk by Omri Ben-Eliezer (Harvard University, US) "

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Tight Bounds for Adversarially Robust Streams and Sliding Windows ( Samson Zhou (CMU))
FOCS 2024 10B A Strong Separation for Adversarially Robust $\ell_0$ Estimation for Linear Sketches
Eylon Yogev - Adversarially Robust Streaming Algorithms
Adversarially Robust Coloring for Graph Streams
Lifting Linear Sketches Optimal Bounds and Adversarial Robustness, Part 1
Designing Robust Algorithms for Data Streams that Might be Adversarially Generated | Prof. Amit C.
Eylon Yogev, The Adversarial Robustness of Sampling
A Strong Separation for Adversarially Robust L_0 Estimation for Linear Sketches
Omri Ben-Eliezer “Adversarially Robust Streaming Algorithms” | MLC '20

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Last Updated: June 21, 2026

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