◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Marco Calderini

20 papers hereh-index 15550 citations60 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author3
  • first author5
  • middle author10
  • last author1

Across the 19 of 20 papers where every author was matched, so the position is known.

fields
  • math.GR7
  • cs.IT6
  • cs.CR3
  • math.CO3
  • math.NT1
same name
  • Marco Calderini — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162026
most citedTwo new families of bivariate APN functions

1 citations · 1 across the 10 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cs.IT2021

Low c-differential uniformity for functions modified on subfields

Daniele Bartoli, Marco Calderini, Constanza Riera +1

In this paper, we construct some piecewise defined functions, and study their c-differential uniformity. As a by-product, we improve upon several prior results. Further, we look…

cs.IT2021

Higher Order c-Differentials

Aaron Geary, Marco Calderini, Constanza Riera +1

EFRST20, the notion of c-differentials was introduced as a potential expansion of differential cryptanalysis against block ciphers utilizing substitution boxes. Drawing inspirati…

math.CO2021

On the infiniteness of a family of APN functions

Daniele Bartoli, Marco Calderini, Olga Polverino +1

APN functions play a fundamental role in cryptography against attacks on block ciphers. Several families of quadratic APN functions have been proposed in the recent years, whose co…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.