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We study the power of negation in the Boolean and algebraic settings and show the following results. * We construct a family of polynomials $P_n$ in $n$ variables, all of whose monomials have positive coefficients, such that $P_n$ can be…

计算复杂性 · 计算机科学 2025-12-23 Bruno Cavalar , Théo Borém Fabris , Partha Mukhopadhyay , Srikanth Srinivasan , Amir Yehudayoff

We study the computational power of polynomial threshold functions, that is, threshold functions of real polynomials over the boolean cube. We provide two new results bounding the computational power of this model. Our first result shows…

计算复杂性 · 计算机科学 2009-11-29 Ido Ben-Eliezer , Shachar Lovett , Ariel Yadin

Boolean functions are important primitives in different domains of cryptology, complexity and coding theory. In this paper, we connect the tools from cryptology and complexity theory in the domain of Boolean functions with low polynomial…

计算复杂性 · 计算机科学 2021-07-26 Subhamoy Maitra , Chandra Sekhar Mukherjee , Pantelimon Stanica , Deng Tang

Cyclic codes, as linear block error-correcting codes in coding theory, play a vital role and have wide applications. Ding in \cite{D} constructed a number of classes of cyclic codes from almost perfect nonlinear (APN) functions and planar…

信息论 · 计算机科学 2013-06-03 Chunming Tang , Yanfeng Qi , Maozhi Xu

A simple way to generate a Boolean function is to take the sign of a real polynomial in $n$ variables. Such Boolean functions are called polynomial threshold functions. How many low-degree polynomial threshold functions are there? The…

概率论 · 数学 2019-07-25 Pierre Baldi , Roman Vershynin

We make the case for neural network objects and extend an already existing neural network calculus explained in detail in Chapter 2 on \cite{bigbook}. Our aim will be to show that, yes, indeed, it makes sense to talk about neural network…

机器学习 · 计算机科学 2024-02-05 Shakil Rafi , Joshua Lee Padgett , Ukash Nakarmi

Only three classes of Almost Perfect Nonlinear (for short, APN) power functions over odd characteristic finite fields have been investigated in the literature, and their differential spectra were determined. The differential uniformity of…

信息论 · 计算机科学 2022-10-20 Haode Yan , Sihem Mesnager , Xiantong Tan

Recently, much progress has been made to construct minimal linear codes due to their preference in secret sharing schemes and secure two-party computation. In this paper, we put forward a new method to construct minimal linear codes by…

信息论 · 计算机科学 2022-08-09 Yanjun Li , Jie Peng , Haibin Kan , Lijing Zheng

First of all we give some reasons that "natural proofs" built not a barrier to prove P $\not=$ NP using Boolean complexity. Then we investigate the approximation method for its extension to prove super-polynomial lower bounds for the…

计算复杂性 · 计算机科学 2020-06-16 Norbert Blum

Semi-bent Boolean functions are interesting from a cryptographic standpoint, since they possess several desirable properties such as having a low and flat Walsh spectrum, which is useful to resist linear cryptanalysis. In this paper, we…

元胞自动机与格子气 · 物理学 2020-05-19 Luca Mariot , Martina Saletta , Alberto Leporati , Luca Manzoni

The algebraic degree is an important parameter of Boolean functions used in cryptography. When a function in a large number of variables is not given explicitly in algebraic normal form, it might not be feasible to compute its degree.…

密码学与安全 · 计算机科学 2023-06-22 Ana Salagean , Percy Reyes-Paredes

A new almost perfect nonlinear function (APN) on the finite field GF(2^10) which is not equivalent to any of the previously known APN mappings is constructed. This is the first example of an APN mapping which is not equivalent to a power…

组合数学 · 数学 2016-11-17 Yves Edel , Gohar Kyureghyan , Alexander Pott

A Boolean function on n variables is q-resilient if for any subset of at most q variables, the function is very likely to be determined by a uniformly random assignment to the remaining n-q variables; in other words, no coalition of at most…

计算复杂性 · 计算机科学 2016-04-19 Raghu Meka

In this article, we focus on the concept of locally-APN-ness (``APN" is the abbreviation of the well-known notion of Almost Perfect Nonlinear) introduced by Blondeau, Canteaut, and Charpin, which makes the corpus of S-boxes somehow larger…

信息论 · 计算机科学 2022-08-05 Xi Xie , Sihem Mesnager , Nian Li , Debiao He , Xiangyong Zeng

In this report, we show that all n-variable Boolean function can be represented as polynomial threshold functions (PTF) with at most $0.75 \times 2^n$ non-zero integer coefficients and give an upper bound on the absolute value of these…

离散数学 · 计算机科学 2020-07-07 Erhan Oztop , Minoru Asada

We propose a general approach to construct cryptographic significant Boolean functions of $(r+1)m$ variables based on the additive decomposition $\mathbb{F}_{2^{rm}}\times\mathbb{F}_{2^m}$ of the finite field $\mathbb{F}_{2^{(r+1)m}}$,…

密码学与安全 · 计算机科学 2014-01-28 Baofeng Wu , Qingfang Jin , Zhuojun Liu , Dongdai Lin

We obtain upper bounds, independent of the ambient dimension, for the number of realizable zero-nonzero patterns and (over ordered fields) sign conditions of a finite family of polynomials $\mathcal P$ restricted to an algebraic subset $V$…

组合数学 · 数学 2026-01-05 Saugata Basu , Laxmi Parida

The Feistel Boomerang Connectivity Table and the related notion of $F$-Boomerang uniformity (also known as the second-order zero differential uniformity) has been recently introduced by Boukerrou et al.~\cite{Bouk}. These tools shall…

信息论 · 计算机科学 2023-10-24 Kirpa Garg , Sartaj Ul Hasan , Constanza Riera , Pantelimon Stanica

Consider the representations of an algebraic group G. In general, polynomial invariant functions may fail to separate orbits. The invariant subring may not be finitely generated, or the number and complexity of the generators may grow…

表示论 · 数学 2010-08-24 Harlan Kadish

In 2020, Budaghyan, Helleseth and Kaleyski [IEEE TIT 66(11): 7081-7087, 2020] considered an infinite family of quadrinomials over $\mathbb{F}_{2^{n}}$ of the form $x^3+a(x^{2^s+1})^{2^k}+bx^{3\cdot 2^m}+c(x^{2^{s+m}+2^m})^{2^k}$, where…

信息论 · 计算机科学 2021-01-28 Lijing Zheng , Haibin Kan , Yanjun Li , Jie Peng , Deng Tang