Papers for

cryptography protocol designers

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

Covering radius of reed-muller code RM 3 8 determined exactly

The Covering Radius of the Reed--Muller Code \texorpdfstring{$\RM(3,8)$}{RM(3,8)} is 56

Abstract: We prove that the covering radius of the third-order Reed--Muller code in eight variables is fifty-six. The proof separates even- and odd-weight inputs by moment-controlled slicing. On the even side, a transport invariant on quadratic-label stars and consistency of singleton restrictions give a compatible cubic correction. On the odd side, symmetry of the third moment yields a covariance-rank obstruction. Its rank-two exception is a quartic plus three points of a two-plane; the zero-second-moment case is a prescribed-point perturbation of a quintic. We prove that every such point perturbation has third-order nonlinearity at most fifty-five by a marked derivative identity and complete restriction-code covers. Consequently the maximum among exact-degree-eight functions is fifty-five. The structural reductions are proved analytically, and complete finite certificates verify the explicitly stated local covering and compatibility assertions. The matching lower bound follows from the published quartic relative radius.

Mon 2 NovInformation Theory
The gist
This paper solves a specific problem in coding theory by precisely determining a key property called the covering radius of the Reed--Muller code with certain parameters. The authors use advanced mathematical techniques to separate cases and analyze structures within the code to prove their result. Their work formalizes and confirms the maximum distance any data point can be from encoded messages for this type of code. They also provide detailed proofs and computational verification to support their findings.
Open → 2611.03186v1

Dictator functions minimize noise stability at critical exponent

Noise Stability on the Hypercube: Order $7/8$

Abstract: For a balanced Boolean function $f$ on the discrete hypercube, we study the $α$-stability $\mathbb{E}[(T_ρf)^α]$, where $T_ρ$ is the Boolean noise operator and $0<α<1$. Using the asymmetric Hellinger kernel estimates recently established by OpenAI, we prove that dictators minimize the $7/8$-stability in every dimension and at every correlation $0\leρ\le1$. At interior correlations they are the only minimizers. As a consequence, dictators minimize the $α$-stability for every $7/8\leα<1$, maximize the $α$-stability for every $1<α<2$, and maximize the one-sided Shannon entropy stability $\mathbb{E}[T_ρf\log T_ρf]$. This resolves a conjecture of Li and Médard and strengthens the Courtade--Kumar conjecture in the balanced setting.

Sat 31 OctInformation Theory
The gist
This work answers a math puzzle about how certain simple functions behave when subjected to noise on a high-dimensional cube. The authors prove that among all balanced functions, the so-called dictator functions minimize or maximize specific measures of stability under noise for a key range of parameters. This settles a long-standing conjecture and strengthens previous results about noise and information stability. The findings reveal exactly which functions are most or least stable to noise in these settings.
Open → 2611.00868v1