Privacy via Pseudorandom Sketches

Summary: Per-user pseudorandom sketches yield information-theoretic privacy against unbounded adversaries with arbitrary priors. Tiny O(log log M)-bit sketches aggregate to estimate conjunction frequencies (including negations) with error independent of attribute count and depending only on user count; they compose for complex queries. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: h11a42af7b99dd550
Venue: PODS
Year: 2006
Pagerank: 7.8418021e-05
Overall Rank: 2,929 | 80.31%
DOI: 10.1145/1142351.1142373

Incoming Non-self Citations Over Time

Authors

1. Nina Mishra (University of Virginia)
2. Mark Sandler (Cornell University)

BibTeX Citation

@inproceedings{mishra_pods06,
        address = {New York, NY, USA},
        series = {{PODS} '06},
        title = {{Privacy via Pseudorandom Sketches}},
        url = {https://dl.acm.org/doi/10.1145/1142351.1142373},
        doi = {10.1145/1142351.1142373},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Mishra, Nina and Sandler, Mark},
        year = {2006}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,715	Heavy Hitters and the Structure of Local Privacy	2018	PODS	9.807288e-05
1,782	The Boundary Between Privacy and Utility in Data Publishing	2007	VLDB	9.652327e-05
2,585	Privacy at Scale: Local Differential Privacy in Practice	2018	SIGMOD	8.2572535e-05
3,359	Towards Robustness in Query Auditing	2006	VLDB	7.3781883e-05

Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
122	Revealing Information while Preserving Privacy	2003	PODS	0.00030770793
226	Limiting Privacy Breaches in Privacy Preserving Data Mining	2003	PODS	0.00023984903
520	Practical Privacy: The SuLQ Framework	2005	PODS	0.00016939312
1,097	Privacy Preserving OLAP	2005	SIGMOD	0.00012041002
2,449	Simulatable Auditing	2005	PODS	8.4490697e-05
7,207	Vision Paper: Enabling Privacy for the Paranoids	2004	VLDB	5.5848103e-05

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