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: 1386
Venue: PODS
Year: 2006
Pagerank: 6.7077542e-05
Overall Rank: 3,843 | 73.27%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Nina Mishra
2. Mark Sandler

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,761	The Boundary Between Privacy and Utility in Data Publishing	2007	VLDB	0.00010651764
2,899	Privacy at Scale: Local Differential Privacy in Practice	2018	SIGMOD	7.9443198e-05
3,258	Towards Robustness in Query Auditing	2006	VLDB	7.3150323e-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
136	Revealing Information while Preserving Privacy	2003	PODS	0.0004241101
177	Limiting Privacy Breaches in Privacy Preserving Data Mining	2003	PODS	0.0003788711
568	Practical Privacy: The SuLQ Framework	2005	PODS	0.00019949368
955	Privacy Preserving OLAP	2005	SIGMOD	0.00015075131
2,577	Simulatable Auditing	2005	PODS	8.5099821e-05
6,277	Vision Paper: Enabling Privacy for the Paranoids	2004	VLDB	5.1311821e-05

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3,304	Plausible Deniability for Privacy-Preserving Data Synthesis	2017	VLDB	7.2467347e-05
2,894	Pan-private Algorithms Via Statistics on Sketches	2011	PODS	7.9474698e-05
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10,946	An LDP Compatible Sketch for Securely Approximating Set Intersection Cardinalities	2024	SIGMOD	4.1945683e-05
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