On Optimizing the Trade-off between Privacy and Utility in Data Provenance
Summary: Formalizes privacy-utility trade-off in data provenance via provenance abstraction; privacy = queries matching obfuscated provenance (k-anonymity style), utility = entropy of the abstraction. Shows intractability; proposes greedy heuristics exploiting provenance structure and validates on TPC-H/IMDB. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Daniel Deutch
- 2. Ariel Frankenthal
- 3. Amir Gilad
- 4. Yuval Moskovitch
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,766 | DPXPlain: Privately Explaining Aggregate Query Answers | 2023 | VLDB | 4.2856106e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 31 | Provenance Semirings | 2007 | PODS | 0.0007857786 |
| 487 | Why Not? | 2009 | SIGMOD | 0.00022050218 |
| 1,106 | Provenance for Aggregate Queries | 2011 | PODS | 0.0001398766 |
| 1,509 | Discovering Queries based on Example Tuples | 2014 | SIGMOD | 0.00011612727 |
| 1,572 | Reverse Engineering Complex Join Queries | 2013 | SIGMOD | 0.00011298251 |
| 2,982 | FastQRE: Fast Query Reverse Engineering | 2018 | SIGMOD | 7.7801984e-05 |
| 3,149 | Fine-Grained, Secure and Efficient Data Provenance on Blockchain Systems | 2019 | VLDB | 7.4741595e-05 |
| 3,663 | Reverse Engineering Aggregation Queries | 2017 | VLDB | 6.8647221e-05 |
| 4,706 | Aggregation in Probabilistic Databases via Knowledge Compilation | 2012 | VLDB | 5.9820914e-05 |
| 6,515 | Provenance Views for Module Privacy | 2011 | PODS | 5.0321577e-05 |
| 7,132 | Enabling Privacy in Provenance-Aware Workflow Systems | 2011 | CIDR | 4.8227603e-05 |
| 8,394 | Hypothetical Reasoning via Provenance Abstraction | 2019 | SIGMOD | 4.527807e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,130 | Enabling Personal Consent in Databases | 2022 | VLDB | 4.3900952e-05 |
| 1,633 | Injecting Utility into Anonymized Datasets | 2006 | SIGMOD | 0.00011060784 |
| 9,059 | Tracking Personal Data Use: Provenance And Trust | 2015 | CIDR | 4.4039656e-05 |
| 2,173 | Querying Data Provenance | 2010 | SIGMOD | 9.3676609e-05 |
| 7,417 | DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance | 2023 | SIGMOD | 4.7355114e-05 |
| 652 | On the Provenance of Non-Answers to Queries over Extracted Data | 2008 | VLDB | 0.00018634477 |
| 7,132 | Enabling Privacy in Provenance-Aware Workflow Systems | 2011 | CIDR | 4.8227603e-05 |
| 1,761 | The Boundary Between Privacy and Utility in Data Publishing | 2007 | VLDB | 0.00010651764 |
| 8,394 | Hypothetical Reasoning via Provenance Abstraction | 2019 | SIGMOD | 4.527807e-05 |
| 6,186 | On Provenance Minimization | 2011 | PODS | 5.166082e-05 |