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The White-Box Adversarial Data Stream Model

Summary: Defines the white-box adversarial streaming model, where the adversary observes the full internal state at every step. Key results: randomized L1-heavy hitters beating Misra-Gries on long streams; cryptographic memory reductions; and lower bounds via two-player communication, revealing a separation between bounded and unbounded adversaries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
1897
Venue
PODS
Year
2022
Pagerank
5.093636e-05
Overall Rank
11,531 | 20.89%
DOI
10.1145/3517804.3526228

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Authors

BibTeX Citation

@inproceedings{ajtai_pods22,
        address = {New York, NY, USA},
        series = {{PODS} '22},
        title = {{The White-Box Adversarial Data Stream Model}},
        url = {https://dl.acm.org/doi/10.1145/3517804.3526228},
        doi = {10.1145/3517804.3526228},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Ajtai, Miklós and Braverman, Vladimir and Jayram, T.S. and Silwal, Sandeep and Sun, Alec and Woodruff, David P. and Zhou, Samson},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,646 Perfect Sampling in Turnstile Streams Beyond Small Moments 2025 PODS 5.093636e-05
11,123 Streaming Algorithms with Few State Changes 2024 PODS 5.093636e-05
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Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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