The DOI matches its Crossref record.
The bit extraction problem or t-resilient functions
Abstract
We consider the following adversarial situation. Let n, m and t be arbitrary integers, and let f : {0, 1}n → {0, 1}m be a function. An adversary, knowing the function f, sets t of the n input bits, while the rest (n-t input, bits) are chosen at random (independently and with uniform probability distribution) The adversary tries to prevent the outcome of f from being uniformly distributed in {0, 1}m. The question addressed is for what values of n, m and t does the adversary necessarily fail in biasing the outcome of f : {0,1}n → {0, 1}m, when being restricted to set t of the input bits of f. We present various lower and upper bounds on m's allowing an affirmative answer. These bounds are relatively close for t ≤ n/3 and for t ≥ 2n/3. Our results have applications in the fields of faulttolerance and cryptography.
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
Cited by
Our Data, Ourselves: Privacy Via Distributed Noise Generation
Dwork, C., Kenthapadi, K., McSherry, F., Mironov, I., & Naor, M. (2006) · Lecture Notes in Computer Science · doi:10.1007/11761679_29 · Cited by 1,835
A Provably Secure True Random Number Generator with Built-In Tolerance to Active Attacks
Sunar, B., Martin, W. J., & Stinson, D. R. (2007) · IEEE Transactions on Computers · doi:10.1109/tc.2007.250627 · Cited by 673
Pseudorandom Generators without the XOR Lemma
Sudan, M., Trevisan, L., & Vadhan, S. (2001) · Journal of Computer and System Sciences · doi:10.1006/jcss.2000.1730 · Cited by 393
Fully Digital Random Bit Generators for Cryptographic Applications
Bucci, M., & Luzzi, R. (2008) · IEEE Transactions on Circuits and Systems I: Regular Papers · doi:10.1109/tcsi.2008.916446 · Cited by 46
Metadata
- Authors
- Chor, B., Goldreich, O., Hasted, J., Freidmann, J., Rudich, S., & Smolensky, R.
- Venue
- 26th Annual Symposium on Foundations of Computer Science (sfcs 1985)
- Publisher
- IEEE
- Published
- 1985
- Pages
- 396-407
- ISSN
- 0272-5428 (ISSN-L)
- OpenAlex
- W2069788171
- Cited by
- 361
- References
- 0
- FWCI
- 0.56
- Type
- conference paper
- Language
- en
- Open access
- closed
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: The bit extraction problem or t-resilient functions. https://app.cochat.ai/papers/10.1109/sfcs.1985.55
- The paper
- Chor, B., Goldreich, O., Hasted, J., Freidmann, J., Rudich, S., & Smolensky, R. (1985). The bit extraction problem or t-resilient functions. 26th Annual Symposium on Foundations of Computer Science (sfcs 1985). https://doi.org/10.1109/sfcs.1985.55
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.