The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Protecting data privacy in private information retrieval schemes
Open accessAbstract
Abotract'An (;)-OT protocol (also denoted "all or nothing discloxwc of secrets") allows Bob to secretly choose one of n occret bits held hy Alice, in a way that at the end of the protocol Bob learnn only a oinglo bit of his choice, and Alice learns nothing about Bob% choice.
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
Shamir, A. (1979) · Communications of the ACM · doi:10.1145/359168.359176 · Cited by 13,756
Cited by
Practical techniques for searches on encrypted data
Song, D. X., Wagner, D., & Perrig, A. (2002) · Proceeding 2000 IEEE Symposium on Security and Privacy. S&P 2000 · doi:10.1109/secpri.2000.848445 · Cited by 3,350
Chor, B., Kushilevitz, E., Goldreich, O., & Sudan, M. (1998) · Journal of the ACM · doi:10.1145/293347.293350 · Cited by 1,612
Self-citationComputationally Private Information Retrieval with Polylogarithmic Communication
Cachin, C., Micali, S., & Stadler, M. (1999) · Lecture Notes in Computer Science · doi:10.1007/3-540-48910-x_28 · Cited by 579
Keyword Search and Oblivious Pseudorandom Functions
Freedman, M. J., Ishai, Y., Pinkas, B., & Reingold, O. (2005) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-30576-7_17 · Cited by 441
Self-citationThe Capacity of Robust Private Information Retrieval With Colluding Databases
Sun, H., & Jafar, S. A. (2018) · IEEE Transactions on Information Theory · doi:10.1109/tit.2017.2777490 · Cited by 312
Metadata
- Authors
- Gertner, Y., Ishai, Y., Kushilevitz, E., & Malkin, T.
- Venue
- Proceedings of the thirtieth annual ACM symposium on Theory of computing - STOC '98
- Publisher
- ACM Press
- Published
- 1998
- Pages
- 151-160
- OpenAlex
- W2065265824
- Cited by
- 445
- References
- 1
- FWCI
- 11.44
- Type
- conference paper
- Language
- en
- Open access
- gold
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: Protecting data privacy in private information retrieval schemes. https://app.cochat.ai/papers/10.1145/276698.276723
- The paper
- Gertner, Y., Ishai, Y., Kushilevitz, E., & Malkin, T. (1998). Protecting data privacy in private information retrieval schemes. Proceedings of the thirtieth annual ACM symposium on Theory of computing - STOC '98. https://doi.org/10.1145/276698.276723
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.
