MétaCan
Menu
Back to cohort
Record W1996492723 · doi:10.1109/icqnm.2009.28

Oblivious Transfer à la Merkle

2009· article· en· W1996492723 on OpenAlexaff
Gilles Brassard, Louis Salvail, Alain Tapp

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicQuantum Computing Algorithms and Architecture
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsOblivious transferQuantum computerComputer scienceCryptographyScheme (mathematics)Theoretical computer scienceCommitment schemeQuantum cryptographyPolynomialComputationAdversaryQuantumDiscrete mathematicsMathematicsQuantum informationComputer securityAlgorithmPhysicsQuantum mechanics

Abstract

fetched live from OpenAlex

Oblivious transfer (OT) is a fundamental primitive in cryptography. It is known that unconditionally secure OT is impossible, even with the help of quantum mechanics. Furthermore, no classical OT scheme has been proven to offer computational security in the usual super-polynomial model, and there is evidence that such schemes cannot be based on one-way permutations. Nevertheless, inspired by Ralph Merkle's 1974 key distribution scheme, we offer a novel classical OT scheme based on one-way permutations and prove its polynomial security: the effort to cheat it scales as t3/2, where t is the legitimate effort needed to implement it. Unfortunately, our scheme melts down under the onslaught of a quantum adversary after an effort merely in the order of t5/6, so that it is actually easier to subvert it than to use it legitimately! By allowing the honest parties to use quantum computation as well, however, it may be that our OT scheme can be repaired so as to resist modest quantum attacks.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.080
Threshold uncertainty score0.268

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.005
Scholarly communication0.0070.012
Open science0.0020.004
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0800.054

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.234
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2009
Admission routes1
Has abstractyes

Explore more

Same topicQuantum Computing Algorithms and ArchitectureFrench-language works237,207