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Emmanuel Prouff

Emmanuel Prouff

D-Index & Metrics

Computer Science

D-Index
42
Citations
7885
World Ranking
8345
National Ranking
193

Overview

Emmanuel Prouff is affiliated with Apple (France) and has contributed to the field of computer science with a focus on cryptographic implementations and hardware security. Their research spans across various subfields including artificial intelligence, hardware and architecture, computer vision and pattern recognition, computational theory and mathematics, and electrical and electronic engineering.

Their main areas of work include:

  • Cryptographic Implementations and Security
  • Physical Unclonable Functions (PUFs) and Hardware Security
  • Chaos-based Image/Signal Encryption
  • Security and Verification in Computing
  • Cryptography and Data Security
  • Complexity and Algorithms in Graphs
  • Graph Theory and CDMA Systems

Emmanuel Prouff has coauthored publications with several researchers, notably:

  • Simon Landry
  • Yanis Linge
  • Sonia Belaïd
  • Jean-Sébastien Coron
  • Matthieu Rivain

Their research has been published in venues such as:

  • SIAM Journal on Discrete Mathematics
  • Cryptography and Communications

Representative papers include:

  • "Lower and Upper Bounds on the Randomness Complexity of Private Computations of AND," 2021, published in SIAM Journal on Discrete Mathematics
  • "Monomial evaluation of polynomial functions protected by threshold implementations-with an illustration on AES-," 2021, published in Cryptography and Communications

Best Publications

  • Provably Secure Higher-Order Masking of AES.

    Matthieu Rivain;Emmanuel Prouff

  • Breaking Cryptographic Implementations Using Deep Learning Techniques.

    Houssem Maghrebi;Thibault Portigliatti;Emmanuel Prouff

  • Convolutional Neural Networks with Data Augmentation Against Jitter-Based Countermeasures

    Eleonora Cagli;Eleonora Cagli;Cécile Dumas;Emmanuel Prouff

  • Masking against Side-Channel Attacks: A Formal Security Proof

    Emmanuel Prouff;Matthieu Rivain

  • Statistical Analysis of Second Order Differential Power Analysis.

    Emmanuel Prouff;Matthieu Rivain;Régis Bevan

  • Mutual Information Analysis: a Comprehensive Study

    Lejla Batina;Benedikt Gierlichs;Emmanuel Prouff;Matthieu Rivain

  • Privacy-Preserving Classification on Deep Neural Network.

    Hervé Chabanne;Amaury de Wargny;Jonathan Milgram;Constance Morel

  • Deep learning for side-channel analysis and introduction to ASCAD database

    Ryad Benadjila;Emmanuel Prouff;Rémi Strullu;Eleonora Cagli

  • Univariate Side Channel Attacks and Leakage Modeling.

    Julien Doget;Emmanuel Prouff;Matthieu Rivain;François-Xavier Standaert

  • DPA attacks and s-boxes

    Emmanuel Prouff

  • Study of Deep Learning Techniques for Side-Channel Analysis and Introduction to ASCAD Database.

    Emmanuel Prouff;Rémi Strullu;Ryad Benadjila;Eleonora Cagli

  • Higher-Order Side Channel Security and Mask Refreshing.

    Jean-Sébastien Coron;Emmanuel Prouff;Matthieu Rivain;Thomas Roche

  • Higher-order Masking and Shuffling for Software Implementations of Block Ciphers.

    Matthieu Rivain;Emmanuel Prouff;Julien Doget

  • Higher-Order masking schemes for s-boxes

    Claude Carlet;Louis Goubin;Emmanuel Prouff;Michael Quisquater

  • Higher-order glitches free implementation of the AES using secure multi-party computation protocols

    Emmanuel Prouff;Thomas Roche

  • Side Channel Cryptanalysis of a Higher Order Masking Scheme

    Jean-Sébastien Coron;Emmanuel Prouff;Matthieu Rivain

  • Theoretical and Practical Aspects of Mutual Information Based Side Channel Analysis

    Emmanuel Prouff;Matthieu Rivain

  • Horizontal collision correlation attack on elliptic curves

    Aurélie Bauer;Eliane Jaulmes;Emmanuel Prouff;Jean-René Reinhard

  • Cryptographic Hardware and Embedded Systems – CHES 2012

    Emmanuel Prouff;Patrick Schaumont

  • Affine Masking against Higher-Order Side Channel Analysis.

    Guillaume Fumaroli;Ange Martinelli;Emmanuel Prouff;Matthieu Rivain

  • A Comprehensive Study of Deep Learning for Side-Channel Analysis

    Loïc Masure;Cécile Dumas;Emmanuel Prouff

  • Convolutional Neural Networks with Data Augmentation against Jitter-Based Countermeasures - Profiling Attacks without Pre-Processing -.

    Eleonora Cagli;Cécile Dumas;Emmanuel Prouff

Frequent Co-Authors

Claude Carlet
Claude Carlet Paris 8 University
Jean-Sébastien Coron
Jean-Sébastien Coron University of Luxembourg
Sylvain Guilley
Sylvain Guilley Télécom ParisTech
Damien Vergnaud
Damien Vergnaud Institut Universitaire de France
François-Xavier Standaert
François-Xavier Standaert Université Catholique de Louvain
Hervé Chabanne
Hervé Chabanne Télécom ParisTech
Patrick Schaumont
Patrick Schaumont Worcester Polytechnic Institute
Rafail Ostrovsky
Rafail Ostrovsky University of California, Los Angeles
Eyal Kushilevitz
Eyal Kushilevitz Technion – Israel Institute of Technology
Jean-Luc Danger
Jean-Luc Danger Télécom ParisTech

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