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Journal Articles
- 2024
[j1]Idan Attias, Edith Cohen, Moshe Shechner, Uri Stemmer:
A Framework for Adversarial Streaming Via Differential Privacy and Difference Estimators. Algorithmica 86(11): 3339-3394 (2024)
Conference and Workshop Papers
- 2023
- [c4]Menachem Sadigurschi, Moshe Shechner, Uri Stemmer:
Relaxed Models for Adversarial Streaming: The Bounded Interruptions Model and the Advice Model. ESA 2023: 91:1-91:14 - [c3]Idan Attias, Edith Cohen, Moshe Shechner, Uri Stemmer:
A Framework for Adversarial Streaming via Differential Privacy and Difference Estimators. ITCS 2023: 8:1-8:19 - 2022
- [c2]Edith Cohen, Xin Lyu, Jelani Nelson, Tamás Sarlós, Moshe Shechner, Uri Stemmer:
On the Robustness of CountSketch to Adaptive Inputs. ICML 2022: 4112-4140 - 2020
- [c1]Moshe Shechner, Or Sheffet, Uri Stemmer:
Private k-Means Clustering with Stability Assumptions. AISTATS 2020: 2518-2528
Informal and Other Publications
- 2023
- [i4]Menachem Sadigurschi, Moshe Shechner, Uri Stemmer:
Relaxed Models for Adversarial Streaming: The Advice Model and the Bounded Interruptions Model. CoRR abs/2301.09203 (2023) - 2022
- [i3]Edith Cohen, Xin Lyu, Jelani Nelson, Tamás Sarlós, Moshe Shechner, Uri Stemmer:
On the Robustness of CountSketch to Adaptive Inputs. CoRR abs/2202.13736 (2022) - 2021
- [i2]Moshe Shechner:
Differentially Private Algorithms for Clustering with Stability Assumptions. CoRR abs/2106.12959 (2021) - [i1]Idan Attias, Edith Cohen, Moshe Shechner, Uri Stemmer:
A Framework for Adversarial Streaming via Differential Privacy and Difference Estimators. CoRR abs/2107.14527 (2021)
Coauthor Index
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