Privacy: From Database Reconstruction to Legal Theorems
Summary: Formalizes legal privacy standards as provable "legal theorems" to bridge legal and technical gaps, mapping concepts like GDPR "singling out" into precise mathematical definitions. Proves whether mechanisms (k‑anonymity, differential privacy) and reconstruction attacks meet those legal notions. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Kobbi Nissim (Georgetown University)
BibTeX Citation
@inproceedings{nissim_pods21,
address = {New York, NY, USA},
series = {{PODS} '21},
title = {{Privacy: From Database Reconstruction to Legal Theorems}},
url = {https://dl.acm.org/doi/10.1145/3452021.3458816},
doi = {10.1145/3452021.3458816},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Nissim, Kobbi},
year = {2021}
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 122 | Revealing Information while Preserving Privacy | 2003 | PODS | 0.00030770793 |
| 347 | Generalizing Data to Provide Anonymity when Disclosing Information | 1998 | PODS | 0.00020325683 |
| 404 | On the Complexity of Optimal K-Anonymity | 2004 | PODS | 0.00019081867 |
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