rho-uncertainty: Inference-Proof Transaction Anonymization
Summary: rho-uncertainty is the first inference-proof privacy notion for transaction anonymization, guarding sensitive-item associations regardless of adversary knowledge without falsifying data. A hybrid generalization-suppression scheme achieves this with non-trivial information loss and outperforms perturbation baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jianneng Cao
- 2. Panagiotis Karras
- 3. Chedy Raïssi
- 4. Kian-Lee Tan
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,567 | PrivBasis: Frequent Itemset Mining with Differential Privacy | 2012 | VLDB | 0.0001133268 |
| 2,685 | On Differentially Private Frequent Itemset Mining | 2013 | VLDB | 8.3070708e-05 |
| 3,097 | Publishing Set-Valued Data via Differential Privacy | 2011 | VLDB | 7.5647028e-05 |
| 8,930 | Privacy Preservation by Disassociation | 2012 | VLDB | 4.427232e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,682 | Personalized Privacy Preservation | 2006 | SIGMOD | 8.3202837e-05 |
| 8,930 | Privacy Preservation by Disassociation | 2012 | VLDB | 4.427232e-05 |
| 1,859 | The Tao of Inference in Privacy-Protected Databases | 2018 | VLDB | 0.0001029011 |
| 10,162 | Enhancing Local Differential Privacy Accuracy by Exploiting Inherent Uncertainty | 2026 | SIGMOD | 4.1945683e-05 |
| 12,343 | Distribution-based Microdata Anonymization | 2009 | VLDB | 4.1945683e-05 |
| 559 | Maintaining Data Privacy in Association Rule Mining | 2002 | VLDB | 0.00020147576 |
| 12,130 | Publishing Microdata with a Robust Privacy Guarantee | 2012 | VLDB | 4.1945683e-05 |
| 177 | Limiting Privacy Breaches in Privacy Preserving Data Mining | 2003 | PODS | 0.0003788711 |
| 12,312 | Anonymized Data: Generation, Models, Usage | 2009 | SIGMOD | 4.1945683e-05 |
| 3,381 | Privacy-preserving Anonymization of Set-valued Data | 2008 | VLDB | 7.1604078e-05 |