Igor E. Shparlinski

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118ranked-venue papers
32as first author
9since 2021 · last 2026
0000-0002-5246-9391ORCID · verified

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Theory of computation · 92 · 25 first-author · 8 since 2021Security and privacy · 29 · 8 first-author · 1 since 2021Databases, data management, data science and information retrieval · 10 · 7 first-author
YearPublicationVenuePosition
2026 On the Sparsity of Nondiagonalizable Integer Matrices and Matrices with a Given Discriminant
abstract
Abstract. We consider the set [Formula: see text] of [Formula: see text]-matrices with integer elements of size at most [Formula: see text] and obtain upper bounds on the number of matrices from [Formula: see text], for which the characteristic polynomial has a fixed discriminant [Formula: see text]. When [Formula: see text], this corresponds to counting matrices with a repeated eigenvalue and thus is related to counting nondiagonalizable matrices. For [Formula: see text], this problem seems not to have been studied previously, while for [Formula: see text], both our approach and the final result improve on those of A. J. Hetzel, J. S. Liew, and K. Morrison [ Amer. Math. Monthly, 114 (2007), pp. 491–499].
Alina Ostafe, Igor E. Shparlinski
SIAM J. Discret. Math.2
2024 Additive Energy of Polynomial Images
abstract
Abstract. Given a monic polynomial [Formula: see text] over a residue ring [Formula: see text] modulo an integer [Formula: see text] and a discrete interval [Formula: see text] of [Formula: see text] consecutive integers, considered as elements of [Formula: see text], we obtain a new upper bound for the additive energy of the set [Formula: see text], where [Formula: see text] denotes the image set [Formula: see text]. We give an application of our bounds to multiplicative character sums, improving a previous result of Shkredov and Shparlinski [ Proc. Steklov Math. Inst., 303 (2018) pp. 239–258].
Bryce Kerr, Igor E. Shparlinski
SIAM J. Discret. Math.3
2023 On sets of linear forms of maximal complexity
abstract
Abstract We present a uniform description of sets of m linear forms in n variables over the field of rational numbers whose computation requires m(n – 1) additions.
Michael Kaminski, Igor E. Shparlinski, Michel Waldschmidt
Comput. Complex.2
2023 Fixed points of the subset sum pseudorandom number generators
abstract
Abstract We give upper bounds on the power moments of the number of fixed points of a family of subset sum pseudorandom number generators, introduced by Rueppel (Analysis and design of stream ciphers, Springer-Verlag, Berlin, 1986).
Igor E. Shparlinski
Des. Codes Cryptogr.1
2023 On oracle factoring of integers
Andrzej Dabrowski, Jacek Pomykala, Igor E. Shparlinski
J. Complex.3
2022 Multiplicative Properties of Hilbert Cubes
abstract
We obtain upper bounds on the cardinality of Hilbert cubes in finite fields, which avoid large product sets and reciprocals of sum sets. In particular, our results replace recent estimates of N. Hegyvári and P. P. Pach [ J. Number Theory, 217 (2020), pp. 292--300], which appear to be void for all admissible parameters. Our approach is different from that of Hegyvári and Pach and is based on some well-known bounds of double character and exponential sums over arbitrary sets, due to A. A. Karatsuba [ Dokl. Akad. Nauk SSSR, 319 (1991), pp. 543--545] and N. G. Moshchevitin [ Mat. Sb., 198 (2007), pp. 95--116]), respectively.
Igor E. Shparlinski
SIAM J. Discret. Math.1
2021 Sets of Linear Forms Which Are Hard to Compute
abstract
We present a uniform description of sets of m linear forms in n variables over the field of rational numbers whose computation requires m(n - 1) additions. Our result is based on bounds on the height of the annihilating polynomials in the Perron theorem and an effective form of the Lindemann-Weierstrass theorem which is due to Sert (1999).
Michael Kaminski, Igor E. Shparlinski
MFCS2
2021 Noisy polynomial interpolation modulo prime powers
Marek Karpinski, Igor E. Shparlinski
J. Complex.2
2021 Exponential Sums with Sparse Polynomials over Finite Fields
abstract
We obtain new bounds of exponential sums modulo a prime $p$ with sparse polynomials $a_0x^{n_0} + \cdots + a_{\nu}x^{n_\nu}$. The bounds depend on various greatest common divisors of exponents $n_0, \ldots, n_\nu$ and their differences. In particular, two new bounds for binomials are obtained, improving previous results in broad ranges of parameters.
Igor E. Shparlinski
SIAM J. Discret. Math.1
2020 On the complexity of exact counting of dynamically irreducible polynomials
Domingo Gómez-Pérez, László Mérai, Igor E. Shparlinski
J. Symb. Comput.3
2020 Bounds of Trilinear and Trinomial Exponential Sums
abstract
We prove, for a sufficiently small subset $\mathcal{A}$ of a prime residue field, an estimate on the number of solutions to the equation $(a_1-a_2)(a_3-a_4) = (a_5-a_6)(a_7-a_8)$ with all variables in $\mathcal{A}$. We then derive new bounds on trilinear exponential sums and on the total number of residues equaling the product of two differences of elements of $\mathcal{A}$. We also prove a refined estimate on the number of collinear triples in a Cartesian product of multiplicative subgroups and derive stronger bounds for trilinear sums with all variables in multiplicative subgroups.
Simon Macourt, Giorgis Petridis, Ilya D. Shkredov, Igor E. Shparlinski
SIAM J. Discret. Math.4
2019 Codes correcting restricted errors
Igor E. Shparlinski, Arne Winterhof
Des. Codes Cryptogr.1
2018 Polynomial Interpolation and Identity Testing from High Powers Over Finite Fields
Gábor Ivanyos, Marek Karpinski, Miklos Santha, Nitin Saxena 0001, Igor E. Shparlinski
Algorithmica5
2018 Identity testing and interpolation from high powers of polynomials of large degree over finite fields
Marek Karpinski, László Mérai, Igor E. Shparlinski
J. Complex.3
2018 On Constructing Primitive Roots in Finite Fields With Advice
abstract
Finding primitive roots in a finite field of p4elements of characteristic p remains to be a hard computational problem with the bottlenecks coming from both locating a small set of possible candidates and also factoring pn- 1 in order to test these candidates. Kopparty et al. (2016) have introduced a question of designing a fast algorithm to find primitive roots with a short advice from an oracle. Trivially, for an m-bit prime p, such a primitive root can be fully described by about mn bits of information received from an all-powerful oracle. Here, we have shown that one can achieve this in polynomial time and with about (1/2 + o(1))m + O(log n) bits of advice.
Igor E. Shparlinski
IEEE Trans. Inf. Theory1
2016 Optimal Quantum Algorithm for Polynomial Interpolation
abstract
We consider the number of quantum queries required to determine the coefficients of a degree-d polynomial over GF(q). A lower bound shown independently by Kane and Kutin and by Meyer and Pommersheim shows that d/2+1/2 quantum queries are needed to solve this problem with bounded error, whereas an algorithm of Boneh and Zhandry shows that d quantum queries are sufficient. We show that the lower bound is achievable: d/2+1/2 quantum queries suffice to determine the polynomial with bounded error. Furthermore, we show that d/2+1 queries suffice to achieve probability approaching 1 for large q. These upper bounds improve results of Boneh and Zhandry on the insecurity of cryptographic protocols against quantum attacks. We also show that our algorithm's success probability as a function of the number of queries is precisely optimal. Furthermore, the algorithm can be implemented with gate complexity poly(log q) with negligible decrease in the success probability. We end with a conjecture about the quantum query complexity of multivariate polynomial interpolation.
Andrew M. Childs, Wim van Dam, Shih-Han Hung, Igor E. Shparlinski
ICALP4
2016 On small gaps between the elements of multiplicative subgroups of finite fields
Igor E. Shparlinski
Des. Codes Cryptogr.1
2016 Counting Co-Cyclic Lattices
abstract
There is a well-known asymptotic formula, due to W. M. Schmidt [Duke Math. J., 35 (1968), pp. 327--339], for the number of full-rank integer lattices of index at most $V$ in ${\mathbb{Z}}^n$. This set of lattices $L$ can naturally be partitioned with respect to the factor group ${\mathbb{Z}}^n/L$. Accordingly, we count the number of full-rank integer lattices $L \subseteq {\mathbb{Z}}^n$ such that ${\mathbb{Z}}^n/L$ is cyclic and of order at most $V$, and deduce that these co-cyclic lattices are dominant among all integer lattices: their natural density is $(\zeta(6) \prod_{k=4}^n \zeta(k))^{-1} \approx 85\%$. The problem is motivated by complexity theory, namely worst-case to average-case reductions for lattice problems.
Phong Q. Nguyen, Igor E. Shparlinski
SIAM J. Discret. Math.2
2015 Circulant graphs and GCD and LCM of subsets
Joachim von zur Gathen, Igor E. Shparlinski
Inf. Process. Lett.2
2015 Cayley Graphs Generated by Small Degree Polynomials over Finite Fields
abstract
We introduce and use some new arguments to improve upper bounds of Chung and of Lu, Wan, Wang, and Zhang on the diameter of some Cayley graphs constructed from polynomials over a finite field.
Igor E. Shparlinski
SIAM J. Discret. Math.1
2014 Random Walks, Bisections and Gossiping in Circulant Graphs
Bernard Mans, Igor E. Shparlinski
Algorithmica2
2014 Products with variables from low-dimensional affine spaces and shifted power identity testing in finite fields
Igor E. Shparlinski
J. Symb. Comput.1
2014 Evasive properties of sparse graphs and some linear equations in primes
Igor E. Shparlinski
Theor. Comput. Sci.1
2014 Covering Sets for Limited-Magnitude Errors
abstract
For a set M = {-μ, -μ + 1, ... , λ} \ {0} with nonnegative integers λ, μqmodulo an integer q > 1 is called a (λ, μ; q)-covering set if MS = {ms mod q : m ∈ M, s ∈ S} = Zq. Small covering sets play an important role in codes correcting limited-magnitude errors. We give an explicit construction of a (λ, μ; q)-covering set S, which is of the size q1+o(1)max{λ, μ}-1/2for almost all integers q ≥ 1 and optimal order of magnitude (that is up to a multiplicative constant) p max{λ, μ}-1if q = p is prime. Furthermore, using a bound on the fourth moment of character sums of Cochrane and Shi that there is a (λ, μ; q)-covering set of size at most q1+o(1)max{λ, μ}-1/2for any integer q ≥ 1, however the proof of this bound is not constructive.
Zhixiong Chen 0002, Igor E. Shparlinski, Arne Winterhof
IEEE Trans. Inf. Theory2
2013 Predicting masked linear pseudorandom number generators over finite fields
Jaime Gutierrez 0001, Álvar Ibeas, Domingo Gómez-Pérez, Igor E. Shparlinski
Des. Codes Cryptogr.4
2013 Correcting noisy exponentiation black-boxes modulo a prime
Igor E. Shparlinski
Inf. Process. Lett.1
2013 Additive Decompositions of Subgroups of Finite Fields
abstract
We say that a set ${\mathcal S}$ is additively decomposed into two sets ${\mathcal A}$ and ${\mathcal B}$ if ${\mathcal S} = \{a+b:a\in {\mathcal A}, b \in {\mathcal B}\}$. Here we study additive decompositions of multiplicative subgroups of finite fields. In particular, we give some improvements and generalizations of results of Dartyge and Sárközy on additive decompositions of quadratic residues and primitive roots modulo $p$. We use some new tools such as the Karatsuba bound of double character sums and some results from additive combinatorics.
Igor E. Shparlinski
SIAM J. Discret. Math.1
2012 Random Walks and Bisections in Random Circulant Graphs
Bernard Mans, Igor E. Shparlinski
LATIN2
2012 On the power generator and its multivariate analogue
Alina Ostafe, Igor E. Shparlinski
J. Complex.2
2012 On the modular inversion hidden number problem
San Ling, Igor E. Shparlinski, Ron Steinfeld, Huaxiong Wang
J. Symb. Comput.2
2012 On the Hidden Shifted Power Problem
abstract
We consider the problem of recovering a hidden element $s$ of a finite field $\mathbb{F}_q$ of $q$ elements from queries to an oracle that for a given $x \in \mathbb{F}_q$ returns $(x+s)^e$ for a given divisor $e \mid q-1$. We use some techniques from additive combinatorics and analytic number theory that lead to more efficient algorithms than the naive interpolation algorithm; for example, they use substantially fewer queries to the oracle.
Jean Bourgain, Moubariz Z. Garaev, Sergei Konyagin, Igor E. Shparlinski
SIAM J. Comput.4
2012 Pseudorandom Bits From Points on Elliptic Curves
abstract
Let E be an elliptic curve over a finite field Fqof q elements, with gcd(q,6)=1, given by an affine Weierstraß equation. We use x(P) to denote the x-component of a point P=(x(P),y(P)) ∈ E. We estimate character sums of the form Σn=1Nχ(x(nP)x(nQ)) and Σn1,⋯,nk=1Nψ(Σj=1kcjx((Πi=1jni)R)) on average over all Fqrational points P, Q, and R on E, where χ is a quadratic character, ψ is a nontrivial additive character in Fq, and (c1,..., ck) ∈ Fqkis a nonzero vector. These bounds confirm several recent conjectures of Jao, Jetchev, and Venkatesan, related to extracting random bits from various sequences of points on the elliptic curves.
Reza Rezaeian Farashahi, Igor E. Shparlinski
IEEE Trans. Inf. Theory2
2011 Pseudorandomness and Dynamics of Fermat Quotients
abstract
We obtain some theoretical and experimental results concerning various properties (the number of fixed points, image distribution, cycle lengths) of the dynamical system naturally associated with Fermat quotients acting on the set $\{0,\dots,p-1\}$. In particular, we improve the lower bound of Vandiver [Bull. Amer. Math. Soc., 22 (1915), pp. 61–67] on the image size of Fermat quotients on the above set (from $p^{1/2}-1$ to $(1+o(1))p(\log p)^{-2}$). We also consider pseudorandom properties of Fermat quotients such as uniform distribution and linear complexity.
Alina Ostafe, Igor E. Shparlinski
SIAM J. Discret. Math.2
2010 On the number of distinct elliptic curves in some families
Reza Rezaeian Farashahi, Igor E. Shparlinski
Des. Codes Cryptogr.2
2010 Short cycles in repeated exponentiation modulo a prime
Lev Glebsky, Igor E. Shparlinski
Des. Codes Cryptogr.2
2010 Approximate polynomial GCD: Small degree and small height perturbations
Joachim von zur Gathen, Maurice Mignotte, Igor E. Shparlinski
J. Symb. Comput.3
2010 On the Distribution of Orbits of PGL2(q) in Fqn and the Klapper Conjecture
abstract
Motivated by a conjecture of Klapper [Finite Fields, Coding Theory, and Advances in Communications and Computing, Marcel Dekker, New York, 1993], we study the distribution of elements $\xi$ of a finite field $\mathbb{F}_{q^n}$ of $q^n$ elements under the action of the transformations $\xi\to(a\xi+b)/(c\xi+d)$ for matrices $\left(\begin{smallmatrix}a&b\\c&d\end{smallmatrix}\right)\in\mathrm{PGL_2(q)}$. We slightly improve a result of Niederreiter and Winterhof [Finite Fields Appl., 9 (2003), pp. 458–471] towards this conjecture. On the other hand, we also show that the original conjecture is false as stated.
Igor E. Shparlinski
SIAM J. Discret. Math.1
2009 On the embedding degree of reductions of an elliptic curve
Alina Carmen Cojocaru, Igor E. Shparlinski
Inf. Process. Lett.2
2009 On the values of Kloosterman sums
abstract
Given a prime p and a positive integer n, we show that the shifted Kloosterman sums SigmaxisinFpnPsi(x + alphaxpn-2)=SigmaxisinF*pnPsi(x+alphax-1)+1, alphaisinF*pn where Psi is a nontrivial additive character of a finite field Fpn of pnelements, do not vanish if alpha belongs to a small subfield Fpm sube Fpn. This complements recent results of P. Charpin and G. Gong which in turn were motivated by some applications to bent functions.
Igor E. Shparlinski
IEEE Trans. Inf. Theory1
2008 Approximate Polynomial gcd: Small Degree and Small Height Perturbations
Joachim von zur Gathen, Igor E. Shparlinski
LATIN2
2008 Pseudorandom Graphs from Elliptic Curves
Igor E. Shparlinski
LATIN1
2008 On RSA moduli with almost half of the bits prescribed
Sidney W. Graham, Igor E. Shparlinski
Discret. Appl. Math.2
2007 Bounds on the Fourier coefficients of the weighted sum function
Igor E. Shparlinski
Inf. Process. Lett.1
2007 Quantum period reconstruction of approximate sequences
Igor E. Shparlinski, Arne Winterhof
Inf. Process. Lett.1
2007 Chinese Remaindering with Multiplicative Noise
Igor E. Shparlinski, Ron Steinfeld
Theory Comput. Syst.1
2006 Constructions of Approximately Mutually Unbiased Bases
Igor E. Shparlinski, Arne Winterhof
LATIN1
2006 On the Discrepancy and Linear Complexity of Some Counter-Dependent Recurrence Sequences
Igor E. Shparlinski, Arne Winterhof
SETA1
2006 GCD of Random Linear Combinations
Joachim von zur Gathen, Igor E. Shparlinski
Algorithmica2
2006 On RSA Moduli with Prescribed Bit Patterns
Igor E. Shparlinski
Des. Codes Cryptogr.1
2006 Elliptic Curves with Low Embedding Degree
Florian Luca, Igor E. Shparlinski
J. Cryptol.2
2006 On the Lower Bound of the Linear Complexity Over BBF_p of Sidelnikov Sequences
abstract
For a Sidelnikov sequence of period p/sup m/-1, tight lower bounds are obtained on its linear complexity L over F/sub p/. In particular, these bounds imply that, uniformly over all p and m, L is close to its largest possible value p/sup m/-1.
Moubariz Z. Garaev, Florian Luca, Igor E. Shparlinski, Arne Winterhof
IEEE Trans. Inf. Theory3
2005 On Stern's Attack Against Secret Truncated Linear Congruential Generators
Scott Contini, Igor E. Shparlinski
ACISP2
2005 Quantum Noisy Rational Function Reconstruction
Sean Hallgren, Alexander Russell, Igor E. Shparlinski
COCOON3
2005 On the Linear Complexity and Multidimensional Distribution of Congruential Generators over Elliptic Curves
Florian Hess, Igor E. Shparlinski
Des. Codes Cryptogr.2
2005 On the linear complexity of bounded integer sequences over different moduli
Igor E. Shparlinski, Arne Winterhof
Inf. Process. Lett.1
2004 Secure Bilinear Diffie-Hellman Bits
Steven D. Galbraith, Herbie J. Hopkins, Igor E. Shparlinski
ACISP3
2004 GCD of Random Linear Forms
Joachim von zur Gathen, Igor E. Shparlinski
ISAAC2
2004 On reducing a system of equations to a single equation
abstract
For a system of polynomial equations over Q;p; we present an efficient construction of a single polynomial of quite small degree whose zero set over Q;p; coincides with the zero set over Q;p; of the original system. We also show that the polynomial has some other attractive features such as low additive and straight-line complexity.The proof is based on a link established here between the above problem and some recent number theoretic result about zeros of p-adic forms.
Gudmund Skovbjerg Frandsen, Igor E. Shparlinski
ISSAC2
2004 Bisecting and Gossiping in Circulant Graphs
Bernard Mans, Igor E. Shparlinski
LATIN2
2004 Polynomial interpolation from multiples
Joachim von zur Gathen, Igor E. Shparlinski
SODA2
2004 On the uniformity of distribution of the decryption exponent in fixed encryption exponent RSA
Igor E. Shparlinski
Inf. Process. Lett.1
2004 Classical and quantum function reconstruction via character evaluation
Alexander Russell, Igor E. Shparlinski
J. Complex.2
2004 Noisy Chinese remaindering in the Lee norm
Igor E. Shparlinski, Ron Steinfeld
J. Complex.1
2004 Number Theoretic Designs for Directed Regular Graphs of Small Diameter
abstract
In 1989, F. R. K. Chung gave a construction for certain directed h-regular graphs of small diameter.Her construction is based on finite fields, and the upper bound on the diameter of these graphs is derived from bounds for certain very short character sums. Here we present two similar constructions that are based on properties of discrete logarithms and exponential functions in residue rings modulo a prime power. Accordingly, we use bounds for certain sums with additive and multiplicative characters to estimate the diameter of our graphs. We also give a third construction that avoids the use of bounds for exponential sums.
William D. Banks, Alessandro Conflitti, Igor E. Shparlinski
SIAM J. Discret. Math.3
2004 On Decimations of l-Sequences
abstract
Maximal length feedback with carry shift register sequences have several remarkable statistical properties. Among them is the property that the arithmetic correlations between any two cyclically distinct decimations are precisely zero. It is open, however, whether all such pairs of decimations are indeed cyclically distinct. In this paper we show that the set of distinct decimations is large and, in some cases, all decimations are distinct.
Mark Goresky, Andrew Klapper, Ram Murty, Igor E. Shparlinski
SIAM J. Discret. Math.4
2003 Predicting the Inversive Generator
Simon R. Blackburn, Domingo Gómez-Pérez, Jaime Gutierrez 0001, Igor E. Shparlinski
IMACC4
2003 Periodic Sequences with Maximal Linear Complexity and Almost Maximal k-Error Linear Complexity
Harald Niederreiter, Igor E. Shparlinski
IMACC2
2003 An authentication scheme based on roots of sparse polynomials
abstract
We describe an authentication scheme whose security is based on the hardness of finding roots of systems of sparse polynomial equations in many variables and of high degree. One of the new ideas is the use of many keys. In one authentication session, a small amount of information about only one of them, chosen randomly, is released; this may be useful in other situations as well. Although the practicality of this scheme has still to be investigated, we believe that the new ideas described here may be of independent interest.
Joachim von zur Gathen, Amin Shokrollahi 0001, Igor E. Shparlinski
ITW3
2003 Unconditional proof of tightness of Johnson bound
Venkatesan Guruswami, Igor E. Shparlinski
SODA2
2003 Complexity of some arithmetic problems for binary polynomials
Eric Allender, Anna Bernasconi 0001, Carsten Damm, Joachim von zur Gathen, Michael E. Saks, Igor E. Shparlinski
Comput. Complex.6
2003 Linear Complexity of the Discrete Logarithm
Sergei Konyagin, Tanja Lange 0001, Igor E. Shparlinski
Des. Codes Cryptogr.3
2003 The Insecurity of the Elliptic Curve Digital Signature Algorithm with Partially Known Nonces
Phong Q. Nguyen, Igor E. Shparlinski
Des. Codes Cryptogr.2
2003 Finding Points on Curves over Finite Fields
abstract
We solve two computational problems concerning plane algebraic curves over finite fields: generating a uniformly random point, and finding all points deterministically in amortized polynomial time (over a prime field, for nonexceptional curves).
Joachim von zur Gathen, Igor E. Shparlinski, Alistair Sinclair
SIAM J. Comput.2
2003 On the linear and nonlinear complexity profile of nonlinear pseudorandom number generators
abstract
We obtain lower bounds on the linear and nonlinear complexity profile of a general nonlinear pseudorandom number generator, of the inversive generator, and of a new nonlinear generator called quadratic exponential generator. The results are interesting for applications to cryptography and Monte Carlo methods.
Jaime Gutierrez 0001, Igor E. Shparlinski, Arne Winterhof
IEEE Trans. Inf. Theory2
2002 Hidden Number Problem with the Trace and Bit Security of XTR and LUC
Wen-Ching Winnie Li, Mats Näslund, Igor E. Shparlinski
CRYPTO3
2002 The Hidden Number Problem in Extension Fields and Its Applications
María Isabel González Vasco, Mats Näslund, Igor E. Shparlinski
LATIN3
2002 On the hardness of approximating the permanent of structured matrices
abstract
We show that for several natural classes of “structured” matrices, including symmetric, circulant, Hankel and Toeplitz matrices, approximating the permanent modulo a prime p is as hard as computing its exact value. Results of this kind are well known for arbitrary matrices. However the techniques used do not seem to apply to “structured” matrices. Our approach is based on recent advances in the hidden number problem introduced by Boneh and Venkatesan in 1996 combined with some bounds of exponential sums motivated by the Waring problem in finite fields.
Bruno Codenotti, Igor E. Shparlinski, Arne Winterhof
Comput. Complex.2
2002 Security of most significant bits of gx2
Igor E. Shparlinski
Inf. Process. Lett.1
2002 The Insecurity of the Digital Signature Algorithm with Partially Known Nonces
Phong Q. Nguyen, Igor E. Shparlinski
J. Cryptol.2
2001 On the Insecurity of a Server-Aided RSA Protocol
Phong Q. Nguyen, Igor E. Shparlinski
ASIACRYPT2
2001 On the Unpredictability of Bits of the Elliptic Curve Diffie--Hellman Scheme
Dan Boneh, Igor E. Shparlinski
CRYPTO2
2001 On Polynomial Representations of Boolean Functions Related to Some Number Theoretic Problems
Erion Plaku, Igor E. Shparlinski
FSTTCS2
2001 On the Uniformity of Distribution of Congruential Generators over Elliptic Curves
Edwin El Mahassni, Igor E. Shparlinski
SETA2
2001 Sparse polynomial approximation in finite fields
abstract
We consider a polynomial analogue of the hidden number problem which has recently been introduced by Boneh and Venkatesan. Namely we consider the sparse polynomial approximation problem of recovering an unknown polynomial f(X) \in \F_p[X] with at most $m$ non-zero terms from approximate values of f(t) at polynomially many points t \in \F_p selected uniformly at random. The case of a polynomial f(X) = α X corresponds to the hidden number problem. The above problem is related to the noisy polynomial interpolation problem and to the sparse polynomial interpolation problem which have recently been considered in the literature. Our results are based on a combination of some number theory tools such as bounds of exponential sums and the number of solutions of congruences with the lattice reduction technique.
Igor E. Shparlinski
STOC1
2001 On the Linear Complexity of the Power Generator
Igor E. Shparlinski
Des. Codes Cryptogr.1
2001 On Some Properties of the Shrinking Generator
Igor E. Shparlinski
Des. Codes Cryptogr.1
2001 On the Linear Complexity of the Naor-Reingold Pseudo-random Function from Elliptic Curves
Igor E. Shparlinski, Joseph H. Silverman
Des. Codes Cryptogr.1
2001 Circuit and Decision Tree Complexity of Some Number Theoretic Problems
Anna Bernasconi 0001, Carsten Damm, Igor E. Shparlinski
Inf. Comput.3
2001 A Lower Bound for Primality
Eric Allender, Michael E. Saks, Igor E. Shparlinski
J. Comput. Syst. Sci.3
2001 On the Distribution of Diffie-Hellman Triples with Sparse Exponents
abstract
Let g be a primitive root modulo a (n+1)-bit prime p. In this paper we prove the uniformity of distribution of the Diffie--Hellman triples (g x , g y , g xy ) as the exponents x and y run through the set of n-bit integers with precisely k nonzero bits in their bit representation provided that $k \ge 0.35 n$. Such "sparse" exponents are of interest because for these the computation of g x , g y , g xy is faster than for arbitrary x and y. In the latter case, that is, for arbitrary exponents, similar (albeit stronger) uniformity of distribution results have recently been obtained by R. Canetti, M. Larsen, D. Lieman, S. Konyagin [ Israel J. Math, 120 (2000), pp. 23--46], and the authors.
John B. Friedlander, Igor E. Shparlinski
SIAM J. Discret. Math.2
2000 An Extremely Small and Efficient Identification Scheme
William D. Banks, Daniel Lieman, Igor E. Shparlinski
ACISP3
2000 Communication Complexity and Fourier Coefficients of the Diffie-Hellman Key
Igor E. Shparlinski
LATIN1
2000 The average sensitivity of square-freeness
Anna Bernasconi 0001, Carsten Damm, Igor E. Shparlinski
Comput. Complex.3
2000 Linear complexity of the Naor-Reingold pseudo-random function
Igor E. Shparlinski
Inf. Process. Lett.1
2000 On Polynomial Approximation of the Discrete Logarithm and the Diffie - Hellman Mapping
Don Coppersmith, Igor E. Shparlinski
J. Cryptol.2
2000 The CREW PRAM Complexity of Modular Inversion
abstract
One of the long-standing open questions in the theory of parallel computation is the parallel complexity of the integer gcd and related problems, such as modular inversion. We present a lower bound $\Omega (\log n)$ for the parallel time on a concurrent-read exclusive-write parallel random access machine (CREW PRAM) computing the inverse modulo certain n-bit integers, including all such primes. For infinitely many moduli, our lower bound matches asymptotically the known upper bound. We obtain a similar lower bound for computing a specified bit in a large power of an integer. Our main tools are certain estimates for exponential sums in finite fields.
Joachim von zur Gathen, Igor E. Shparlinski
SIAM J. Comput.2
2000 Zero testing of p-adic and modular polynomials
Marek Karpinski, Alfred J. van der Poorten, Igor E. Shparlinski
Theor. Comput. Sci.3
2000 On the linear complexity profile of the power generator
abstract
We obtain a lower bound on the linear complexity profile of the power generator of pseudo-random numbers modulo a Blum integer. A different method is also proposed to estimate the linear complexity profile of the Blum-Blum-Shub (1986) generator. In particular, these results imply that lattice reduction attacks on such generators are not feasible.
Frances Griffin, Igor E. Shparlinski
IEEE Trans. Inf. Theory2
1999 A Lower Bound for Primality
abstract
Recent work by Bernasconi, Damm and Shparlinski proved lower bounds on the circuit complexity of the square-free numbers, and raised as an open question if similar (or stronger) lower bounds could be proved for the set of prime numbers. In this short note, we answer this question affirmatively, by showing that the set of prime numbers (represented in the usual binary notation) is not contained in AC/sup 0/ [p] for any prime p. Similar lower bounds are presented for the set of square-free numbers, and for the problem of computing the greatest common divisor of two numbers.
Eric Allender, Michael E. Saks, Igor E. Shparlinski
CCC3
1999 On the Average Sensitivity of Testing Square-Free Numbers
Anna Bernasconi 0001, Carsten Damm, Igor E. Shparlinski
COCOON3
1999 On Routing in Circulant Graphs
Jin-Yi Cai, George Havas, Bernard Mans, Ajay Nerurkar, Jean-Pierre Seifert, Igor E. Shparlinski
COCOON6
1999 On the Linear Complexity of the Naor-Reingold Pseudo-Random Function
Frances Griffin, Igor E. Shparlinski
ICICS2
1999 Circuit Complexity of Testing Square-Free Numbers
Anna Bernasconi 0001, Igor E. Shparlinski
STACS2
1999 On The Correlation of Binary Sequences
John B. Friedlander, Michael Larsen, Daniel Lieman, Igor E. Shparlinski
Des. Codes Cryptogr.4
1998 On the Ádám Conjecture on Circulant Graphs
Bernard Mans, Francesco Pappalardi, Igor E. Shparlinski
COCOON3
1998 The CREW PRAM Complexity of Modular Inversion
Joachim von zur Gathen, Igor E. Shparlinski
LATIN2
1998 On the Distribution of the RSA Generator
John B. Friedlander, Daniel Lieman, Igor E. Shparlinski
SETA3
1998 Computing components and projections of curves over finite fields
abstract
This paper provides an algorithmic approach to some basic algebraic and combinatorial properties of algebraic curves over finite fields: the number of points on a curve or a projection, its number of absolutely irreducible components, and the property of being "exceptional."
Joachim von zur Gathen, Igor E. Shparlinski
SIAM J. Comput.2
1997 Counting Curves and Their Projections
Joachim von zur Gathen, Marek Karpinski, Igor E. Shparlinski
Comput. Complex.3
1996 On Some Approximation Problems Concerning Sparse Polynomials over Finite Fields
Marek Karpinski, Igor E. Shparlinski
Theor. Comput. Sci.2
1996 On Finding Primitive Roots in Finite Fields
Igor E. Shparlinski
Theor. Comput. Sci.1
1995 Finding Points on Curves over Finite Fields (Extended Abstract)
abstract
We solve two computational problems concerning plane algebraic curves over finite fields: generating an (approximately) uniform random point, and finding all points deterministically in amortized polynomial time (over a prime field, for non-exceptional curves).
Joachim von zur Gathen, Igor E. Shparlinski
FOCS2
1995 Orders of Gauss Periods in Finite Fields
Joachim von zur Gathen, Igor E. Shparlinski
ISAAC2
1994 Components and Projections of Curves over Finite Fields
Joachim von zur Gathen, Igor E. Shparlinski
ISAAC2
1993 Counting curves and their projections
abstract
. Some deterministic and probabilistic methods are presented for counting and estimating the number of points on curves over finite fields, and on their projections. The classical question of estimating the size of the image of a univariate polynomial is a special case. For curves given by sparse polynomials, the counting problem is #P-complete via probabilistic parsimonious Turing reductions. 1. Introduction One of the most celebrated results in algebraic geometry is Weil's theorem on the number of points on algebraic curves over a finite field. In this paper, we address some computational problems related to this question. Our main results are: ffi A "computational Weil estimate" for projections of curves and images of polynomials, in Section 3. ffi #P-completeness of the exact counting problem for sparse curves, in Section 4. We consider a finite field F q with q elements, an algebraic closure K of F q , a polynomial f 2 F q [x; y] of degree n , the plane curve C = ff = 0g = f(a;...
Joachim von zur Gathen, Marek Karpinski, Igor E. Shparlinski
STOC3
1992 A Deterministic Test for Permutation Polynomials
Igor E. Shparlinski
Comput. Complex.1
1992 Distances from Differences of Roots of Polynomials to the Nearest Integers
V. I. Galiev, A. F. Polupanov, Igor E. Shparlinski
Inf. Process. Lett.3
1987 On Structure Complexity of Normal Basis of Finite Field
S. A. Stepanov, Igor E. Shparlinski
FCT2