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SAGMA: Secure Aggregation Grouped by Multiple Attributes

Summary: SAGMA enables secure aggregation over outsourced data with GROUP BY, supporting arbitrary grouping attributes and protecting cloud ciphertexts semantically. It hides access patterns and group frequencies to curb leakage; evaluation shows feasibility. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5783
Venue
SIGMOD
Year
2020
Pagerank
4.6603994e-05
Overall Rank
7,733 | 46.26%
DOI
10.1145/3318464.3380569

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
2,149 HEDA: Multi-Attribute Unbounded Aggregation over Homomorphically Encrypted Database 2023 VLDB 9.4256962e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
119 Executing SQL over Encrypted Data in the Database-Service-Provider Model 2002 SIGMOD 0.00045724707
1,383 A Privacy-Preserving Index for Range Queries 2004 VLDB 0.00012262651
2,083 Answering Aggregation Queries in a Secure System Model 2007 VLDB 9.579797e-05
8,536 Practical and Secure Substring Search 2018 SIGMOD 4.4893996e-05
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