2005
DOI: 10.1007/s00200-005-0180-1
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Noisy interpolation of sparse polynomials in finite fields

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Cited by 11 publications
(21 citation statements)
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“…Extending the bound of [84] to composite moduli is already an interesting problem. The bound of [46] has been applied to various problems in number theory [10], computer science [124] and cryptography [125]. Several other bounds (stronger, but more restrictive on the class of polynomials to which they apply) on exponential sums with sparse polynomials can be found in [23,27,47,111].…”
Section: Beatty Sequencesmentioning
confidence: 99%
“…Extending the bound of [84] to composite moduli is already an interesting problem. The bound of [46] has been applied to various problems in number theory [10], computer science [124] and cryptography [125]. Several other bounds (stronger, but more restrictive on the class of polynomials to which they apply) on exponential sums with sparse polynomials can be found in [23,27,47,111].…”
Section: Beatty Sequencesmentioning
confidence: 99%
“…It has also found some applications to a problem on the complexity of approximation of the permanent [5] and to noisy polynomial interpolation [26]. On the other hand, it should be remarked that our approach requires an increase in the number of t ∈ G for which MSB η (αt) is requested (which remains polynomial nevertheless, in particular it never exceeds (log p) 4 ).…”
Section: Introductionmentioning
confidence: 98%
“…, c. The MMO problem with known moduli is to recover the polynomials f and g. This is a natural extension of the well known polynomial interpolation problem. We want to mention now that if p is much larger than q, then the MMO problem with known moduli can be easily transformed in a noisy polynomial interpolation problem (see [10]), where the evaluation of the polynomial g modulo q can be seen as random "noise" and the attacker tries to recover f . Rigorous bounds for the noise of the results in [10] depend heavily on the performance of finding a close vector in the lattice and it seems that there is some gap between the theoretic results and the practical experiments.…”
Section: Introductionmentioning
confidence: 99%