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Don’t Be a Tattle-Tale: Preventing Leakages through Data Dependencies on Access Control Protected Data

Summary: Proposes a full deniability security model to prevent any inference about sensitive data from query answers via data dependencies. Offers an algorithm that minimally hides non-sensitive cells to achieve deniability, with experiments showing practicality. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12735
Venue
VLDB
Year
2022
Pagerank
4.3055474e-05
Overall Rank
9,673 | 32.71%
DOI
10.14778/3551793.3551805

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
6,898 Disclosure-Compliant Query Answering 2024 SIGMOD 4.8925595e-05
7,417 DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance 2023 SIGMOD 4.7355114e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

Rank Cited Paper Year Venue Pagerank
192 HoloClean: Holistic Data Repairs with Probabilistic Inference 2017 VLDB 0.00035728858
355 Hippocratic Databases 2002 VLDB 0.00026087195
555 Discovering Denial Constraints 2013 VLDB 0.00020254908
607 Extending Query Rewriting Techniques for Fine-Grained Access Control 2004 SIGMOD 0.00019266724
1,083 A Formal Analysis of Information Disclosure in Data Exchange 2004 SIGMOD 0.00014210752
1,197 The LLUNATIC Data-Cleaning Framework 2013 VLDB 0.00013390321
1,625 Data Profiling with Metanome 2015 VLDB 0.00011094926
5,425 SEMROD: Secure and Efficient MapReduce Over Hybrid Clouds 2015 SIGMOD 5.5107787e-05
8,411 Sieve: A Middleware Approach to Scalable Access Control for Database Management Systems 2020 VLDB 4.5204669e-05
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