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Dependency-Aware ROM/CBD Correctness Bounds for ML-KEM-768 at the Heuristic Failure Scale

arXiv cs.CRby Aurélie Duriez ()1 min read13 · 2 reads
AI summary · glm-5.3-flashSummaries by Vani AI

Researchers certify a dependency-preserving upper bound of 2^-164.81 on honest decapsulation failure for ML-KEM-768 within an explicit ROM/CBD abstraction.

The paper models ML-KEM-768's domain-separated public-matrix streams as independent uniform ring elements and secret polynomials as CBD2 primitives, explicitly not claiming an information-theoretic result about the fixed SHAKE instantiation in FIPS 203. It preserves dependencies from the public matrix and both ciphertext-compression terms, using a graph-coupled reference, a proper-ideal bivariate Fourier transport, and a 256-coordinate union bound. The certified bound is Pr[K' != K] <= 2^-164.81, with the exponent 164.8107162... exceeding the 164.81 threshold by only about 0.0007162 bits; 164.82 is not certified. The bound applies to messages fixed independently of the randomness under honest encryption and decapsulation, and is not an exact DFR, a fixed-SHAKE equivalence, or a new IND-CCA reduction.

Key facts
  • Certified upper bound of 2^-164.81 on honest decapsulation failure for ML-KEM-768.
  • Analysis preserves dependencies from the public matrix and both ciphertext-compression terms.
  • Bound is numerically tight: exponent exceeds 164.81 by about 0.0007162 bits.
  • Result is abstraction-specific, not an exact DFR or fixed-SHAKE equivalence theorem.
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From the original article

1 min read at arxiv.org

We certify an honest-decapsulation failure upper bound for ML-KEM-768 in an explicit random-function/centered-binomial (ROM/CBD) abstraction. Domain-separated public-matrix streams are modeled as independent uniform ring elements and secret/noise polynomials as independent CBD2 primitives; this is not an information-theoretic statement about the fixed SHAKE instantiation of FIPS 203.

arXiv cs.CR

By Aurélie Duriez · arxiv.org

Read the full article at arXiv cs.CR

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