The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Privacy-Preserving Set Operations
Open accessAbstract
In many important applications, a collection of mutually distrustful parties must perform private computation over multisets. Each party's input to the function is his private input multiset. In order to protect these private sets, the players perform privacy-preserving computation; that is, no party learns more information about other parties' private input sets than what can be deduced from the result. In this paper, we propose efficient techniques for privacy-preserving operations on multisets. By building a framework of multiset operations, employing the mathematical properties of polynomials, we design efficient, secure, and composable methods to enable privacy-preserving computation of the union, intersection, and element reduction operations. We apply these techniques to a wide range of practical problems, achieving more efficient results than those of previous work.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Handbook of applied cryptography
(1997) · Choice Reviews Online · doi:10.5860/choice.34-4512 · Cited by 10,357
Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
Paillier, P. (2007) · Lecture Notes in Computer Science · doi:10.1007/3-540-48910-x_16 · Cited by 7,250
Untraceable electronic mail, return addresses, and digital pseudonyms
Chaum, D. L. (1981) · Communications of the ACM · doi:10.1145/358549.358563 · Cited by 4,289
Protocols for secure computations
Yao, A. C. (1982) · 23rd Annual Symposium on Foundations of Computer Science (sfcs 1982) · doi:10.1109/sfcs.1982.38 · Cited by 3,306
Handbook of Applied Cryptography
Menezes, A. J., van Oorschot, P. C., & Vanstone, S. A. (2018) · CRC Press eBooks · doi:10.1201/9781439821916 · Cited by 2,896
Protocols for secure computations
Yao, A. C.-C. (1982) · doi:10.1109/sfcs.1982.88 · Cited by 2,661
Goldwasser, S., & Micali, S. (1984) · Journal of Computer and System Sciences · doi:10.1016/0022-0000(84)90070-9 · Cited by 2,603
Completeness theorems for non-cryptographic fault-tolerant distributed computation
Ben-Or, M., & Wigderson, A. (1988) · Proceedings of the twentieth annual ACM symposium on Theory of computing - STOC '88 · doi:10.1145/62212.62213 · Cited by 2,524
Goldreich, O. (2001) · Cambridge University Press eBooks · doi:10.1017/cbo9780511546891 · Cited by 2,181
Lecture Notes in Computer Science 1867
Baldwin, J., Martin, T., & Tzanavari, A. (2000) · Cited by 1,643
Cited by
Secure Multiparty Computation for Privacy-Preserving Data Mining
Lindell, Y., & Pinkas, B. (2009) · Journal of Privacy and Confidentiality · doi:10.29012/jpc.v1i1.566 · Cited by 554
Practical Private Set Intersection Protocols with Linear Complexity
De Cristofaro, E., & Tsudik, G. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-14577-3_13 · Cited by 416
Scalable Private Set Intersection Based on OT Extension
Pinkas, B., Schneider, T., & Zohner, M. (2018) · ACM Transactions on Privacy and Security · doi:10.1145/3154794 · Cited by 313
(2010) · Cited by 291
Hazay, C., & Lindell, Y. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-78524-8_10 · Cited by 267
Metadata
- Authors
- Kissner, L., & Song, D.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2005
- Pages
- 241-257
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2143824669
- Cited by
- 648
- References
- 39
- FWCI
- 15.50
- Type
- conference paper
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Privacy-Preserving Set Operations. https://app.cochat.ai/papers/10.1007/11535218_15
- The paper
- Kissner, L., & Song, D. (2005). Privacy-Preserving Set Operations. Lecture Notes in Computer Science. https://doi.org/10.1007/11535218_15
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
