References of "Leprévost, Franck 50002201"
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See detailHow Evolutionary Algorithms and Information Hiding deceive machines and humans for image recognition: A research program
Bernard, Nicolas UL; Leprévost, Franck UL

in Theeramunkong, Thanaruk; Bouvry, Pascal; Srichaikul, Piyawut (Eds.) Proceedings of the OLA'2019 International Conference on Optimization and Learning (Bangkok, Thailand, Jan 29-31, 2019) (2019)

Deep Neural Networks are used for a wide range of critical applications, notably for image recognition. The ability to deceive their recognition abilities is an active research domain, since successful ... [more ▼]

Deep Neural Networks are used for a wide range of critical applications, notably for image recognition. The ability to deceive their recognition abilities is an active research domain, since successful deceptions may have disastrous consequences. Still, humans sometimes detect mistakes made by machines when they classify images. One can conceive a system able to solicit humans in case of doubts, namely when humans and machines may disagree. Using Information Hiding techniques, we describe a strategy to construct evolutionary algorithms able to fool both neural networks and humans for image recognition. Although this research is still exploratory, we already describe a concrete fitness function for a specific scenario. Additional scenarii and further research directions are provided. [less ▲]

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See detailThe University of Luxembourg: A National Excellence Initiative
Leprévost, Franck UL

in Altbach, Phil; Reisberg, Liz; Salmi, Jamil (Eds.) et al Accelerated Universities: A ideas and Money Combine to Build Academic Excellence (2018)

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See detailEvolutionary Algorithms for Convolutional Neural Network Visualisation
Bernard, Nicolas UL; Leprévost, Franck UL

in Meneses, Esteban; Castro, Harold; Barrios Hernández, Carlos Jaime (Eds.) et al High Performance Computing -- 5th Latin American Conference, CARLA 2018, Piedecuesta, Colombia (2018)

Deep Learning is based on deep neural networks trained over huge sets of examples. It enabled computers to compete with ---~or even outperform~--- humans at many tasks, from playing Go to driving ... [more ▼]

Deep Learning is based on deep neural networks trained over huge sets of examples. It enabled computers to compete with ---~or even outperform~--- humans at many tasks, from playing Go to driving vehicules. Still, it remains hard to understand how these networks actually operate. While an observer sees any individual local behaviour, he gets little insight about their global decision-making process. However, there is a class of neural networks widely used for image processing, convolutional networks, where each layer contains features working in parallel. By their structure, these features keep some spatial information across a network's layers. Visualisation of this spatial information at different locations in a network, notably on input data that maximise the activation of a given feature, can give insights on the way the model works. This paper investigates the use of Evolutionary Algorithms to evolve such input images that maximise feature activation. Compared with some pre-existing approaches, ours seems currently computationally heavier but with a wider applicability. [less ▲]

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See detailJames Bond's Most Secret Weapon
Leprévost, Franck UL

in Proceedings of the 3rd International Conference on Applications in Information Technology (2018)

This conference presents in a non-conventional way secret-key and public-key cryptology from its origins to the present days.

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See detailElliptic Curves Discrete Logarithm Problem over a Finite Field Fp and p-adic Approximations
Leprévost, Franck UL; Bernard, Nicolas UL; Bouvry, Pascal UL

in Proceedings of the 3rd International Conference on Applications in Information Technology (ICAIT-2018) (2018)

These notes summarize some computations conducted around the Elliptic Curves Discrete Logarithm Problem (ECDLP) over a finite field Fp.

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See detailHardened Bloom Filters, with an Application to Unobservability
Bernard, Nicolas UL; Leprévost, Franck UL

in Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica (2013), 12(4), 11-22

Classical Bloom filters may be used to elegantly check if an element e belongs to a set S, and, if not, to add e to S. They do not store any data and only provide boolean answers regarding the membership ... [more ▼]

Classical Bloom filters may be used to elegantly check if an element e belongs to a set S, and, if not, to add e to S. They do not store any data and only provide boolean answers regarding the membership of a given element in the set, with some probability of false positive answers. Bloom filters are often used in caching system to check that some requested data actually exist before doing a costly lookup to retrieve them. However, security issues may arise for some other applications where an active attacker is able to inject data crafted to degrade the filters’ algorithmic properties, resulting for instance in a Denial of Service (DoS) situation. This leads us to the concept of hardened Bloom filters, combining classical Bloom filters with cryptographic hash functions and secret nonces. We show how this approach is successfully used in the TrueNyms unobservability system and protects it against replay attacks. [less ▲]

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See detailBeyond Tor: The TrueNyms Protocol
Bernard, Nicolas UL; Leprévost, Franck UL

in Security and Intelligent Information Systems (2012)

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See detailSecurity and Intelligent Information Systems
Klopotek, Mieczyslaw; Leprévost, Franck UL; Marciniak, Malgorzata et al

Book published by Springer (2012)

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See detailOn the Computation of Class Polynomials with "Thetanullwerte" and Its Applications to the Unit Group Computation
Leprévost, Franck UL; Pohst, Michael; Uzunkol, Osmanbey

in Experimental Mathematics (2011), 20(3), 271-281

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See detailJacobians of genus 2 curves with a rational point of order 11
Leprévost, Franck UL; Bernard, Nicolas UL; Pohst, Michael

in Experimental Mathematics (2009), 18(1), 65-70

On the one hand, it is well-known that Jacobians of (hyper)elliptic curves defined over $\Q$ having a rational point of order $l$ can be used in many applications, for instance in the construction of ... [more ▼]

On the one hand, it is well-known that Jacobians of (hyper)elliptic curves defined over $\Q$ having a rational point of order $l$ can be used in many applications, for instance in the construction of class groups of quadratic fields with a non-trivial $l$-rank. On the other hand, it is also well-known that $11$ is the least prime number which is not the order of a rational point of an elliptic curve defined over $\Q$. It is therefore interesting to look for curves of higher genus, whose Jacobians have a rational point of order $11$. This problem has already been addressed, and Flynn found such a family $\Fl_t$ of genus $2$ curves. Now, it turns out, that the Jacobian $J_0(23)$ of the modular genus $2$ curve $X_0(23)$ has the required property, but does not belong to $\Fl_t$. The study of $X_0(23)$ leads to a method to partially solving the considered problem. Our approach allows us to recover $X_0(23)$, and to construct another $18$ distinct explicit curves of genus $2$ defined over $\Q$ and whose Jacobians have a rational point of order $11$. Of these $19$ curves, $10$ do not have any rational Weierstrass point, and $9$ have a rational Weierstrass point. None of these curves are $\Qb$-isomorphic to each other, nor $\Qb$-isomorphic to an element of Flynn's family $\Fl_t$. Finally, the Jacobians of these new curves are absolutely simple. [less ▲]

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See detailUnits in some parametric families of quartic fields
Leprévost, Franck UL; Pohst, Michael; Schöpp, Andreas

in Acta Arithmetica (2007), 127(3), 205-216

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See detailCryptographie à Clef Publique
Dumas, J.-G.; Leprévost, Franck UL; Roch, Jean-Louis et al

in Ebrahimi, Touradj; Leprévost, Franck; Warusfel, Bertrand (Eds.) Cryptographie et sécurité des systèmes et réseaux, 2 (2007)

Les briques de construction des systèmes sécurisés d'information font appel aux notions de cryptologie, qui recouvre la cryptographie (la construction de cryptosystèmes) et la cryptanalyse (la recherche ... [more ▼]

Les briques de construction des systèmes sécurisés d'information font appel aux notions de cryptologie, qui recouvre la cryptographie (la construction de cryptosystèmes) et la cryptanalyse (la recherche de failles dans les cryptosystèmes). Les cryptosystèmes reposent sur le principe de Kerckhoff, qui affirme que la sécurité d'un cryptosystème ne doit pas reposer sur l'ignorance de l'algorithme pour sa mise en œuvre, mais sur l'ignorance que l'attaquant a d'une information secrète. Ce volume, organisé en chapitres indépendants, traite de la cryptographie à clef secrète, en particulier de l'AES, et des méthodes de cryptanalyse linéaire et différentielle , de la cryptographie à clef publique, en particulier de RSA, du protocole d'échange de clefs de Diffie-Hellman, et des signatures électroniques. Il assemble ces briques de construction dans le cadre des architectures à clef publique (X.509, PGP, DNSSEC) et traite de la sécurité des systèmes (essentiellement Unix), et des réseaux. [less ▲]

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See detailchap "Architectures PKI"
Leprévost, Franck UL; Varrette, Sébastien UL; Roch, Jean-Louis et al

in Sécurité Multimédia: Cryptographie et Sécurité Systèmes et Réseaux (2006)

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See detailRéalités de l'espionnage électronique
Leprévost, Franck UL; Ebrahimi, Touradj; Warusfel, Bertrand

Book published by Lavoisier-Hermes (2006)

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See detailchap. "Cryptographie à Clé Publique"
Dumas, J.-G.; Leprévost, Franck UL; Roch, J.-L. et al

in Sécurité Multimédia: Cryptographie et Sécurité Systèmes et Réseaux (2006)

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See detailCryptographie et sécurité des systèmes et réseaux
Ebrahimi, Touradj; Leprévost, Franck UL; Warusfel, Bertrand

Book published by Hermès-Lavoisier (2006)

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See detailEnjeux de la sécurité multimédia
Ebrahimi, Touradj; Leprévost, Franck UL; Warusfel, Bertrand

Book published by Hermès-Lavoisier (2006)

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See detailApplicative Solutions for Safe Computations in Distributed Environments
Varrette, Sébastien UL; Roch, J.-L.; Leprévost, Franck UL

in Workshop "Trustworthy Software" (2006)

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See detailSafe Distributed Architecture for Image-based Computer Assisted Diagnosis
Varrette, Sébastien UL; Roch, J.-L.; Montagnat, J. et al

in Proc. of the IEEE Intl. Conf. on Pervasive Services, Workshop on Health Pervasive Systems (HPS'06) (2006)

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See detailDistributed Authentication in GRID5000
Varrette, Sébastien UL; Georget, Sebastien; Montagnat, Johan et al

in Proc. of OTM Confederated Int. Workshops on Grid Computing and its Application to Data Analysis (GADA'05) (2005, November)

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