Courbes modulaires et 11-rang de corps quadratiques. - Franck Leprévost (Exp. Math., 1993)

How to bypass the Wassenaar arrangement: a new application for watermarking. - Franck Leprévost; Raphaël Erard; Touradj Ebrahimi (ACM Multimedia Workshops, 2000)

Empirical evidence for the Birch and Swinnerton-Dyer conjectures for modular Jacobians of genus 2 curves. - E. Victor Flynn; Franck Leprévost; Edward F. Schaefer; William A. Stein; Michael Stoll; Joseph L. Wetherell (Math. Comput., 2001)

FlowCert : Probabilistic Certification for Peer-to-Peer Computations. - Sébastien Varrette; Jean-Louis Roch; Franck Leprévost (SBAC-PAD, 2004)

Distributed Authentication in GRID5000. - Sébastien Varrette; Sebastien Georget; Johan Montagnat; Jean-Louis Roch; Franck Leprévost (OTM Workshops, 2005)

Generating anomalous elliptic curves. - Franck Leprévost; Jean Monnerat; Sébastien Varrette; Serge Vaudenay (Inf. Process. Lett., 2005)

Jacobians of Genus-2 Curves with a Rational Point of Order 11. - Nicolas Bernard; Franck Leprévost; Michael Pohst (Exp. Math., 2009)

Beyond TOR: The TrueNyms Protocol. - Nicolas Bernard; Franck Leprévost (SIIS, 2011)

On the Computation of Class Polynomials with "Thetanullwerte" and Its Applications to the Unit Group Computation. - Franck Leprévost; Michael Pohst; Osmanbey Uzunkol (Exp. Math., 2011)

Hardened Bloom Filters, with an Application to Unobservability. - Nicolas Bernard; Franck Leprévost (Ann. UMCS Informatica, 2012)

Evolutionary Algorithms for Convolutional Neural Network Visualisation. - Nicolas Bernard; Franck Leprévost (CARLA, 2018)

A Proof of Concept to Deceive Humans and Machines at Image Classification with Evolutionary Algorithms. - Raluca Chitic; Nicolas Bernard; Franck Leprévost (ACIIDS (2), 2020)

Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System. - Jorge M. Cortés-Mendoza; Andrei Tchernykh; Mikhail G. Babenko; Luis Bernardo Pulido-Gaytan; Gleb I. Radchenko; Franck Leprévost; Xinheng Wang 001; Arutyun Avetisyan (RuSCDays, 2020)

Robustness of Adversarial Images Against Filters. - Raluca Chitic; Nathan Deridder; Franck Leprévost; Nicolas Bernard (OLA, 2021)

Evolutionary Algorithm-Based Images, Humanly Indistinguishable and Adversarial Against Convolutional Neural Networks: Efficiency and Filter Robustness. - Raluca Chitic; Ali Osman Topal; Franck Leprévost (IEEE Access, 2021)

Evolutionary algorithms deceive humans and machines at image classification: an extended proof of concept on two scenarios. - Raluca Chitic; Franck Leprévost; Nicolas Bernard (J. Inf. Telecommun., 2021)

Strategy and Feasibility Study for the Construction of High Resolution Images Adversarial Against Convolutional Neural Networks. - Franck Leprévost; Ali Osman Topal; Elmir Avdusinovic; Raluca Chitic (ACIIDS (1), 2022)

Creating High-Resolution Adversarial Images Against Convolutional Neural Networks with the Noise Blowing-Up Method. - Franck Leprévost; Ali Osman Topal; Enea Mançellari (ACIIDS (1), 2023)

Scheduling Deep Learning Training in GPU Cluster Using the Model-Similarity-Based Policy. - Panissara Thanapol; Kittichai Lavangnananda; Franck Leprévost; Julien Schleich; Pascal Bouvry (ACIIDS (2), 2023)

Toward Understanding Efficient Privacy-Preserving Homomorphic Comparison. - Bernardo Pulido-Gaytan; Andrei Tchernykh; Franck Leprévost; Pascal Bouvry; Alfredo Goldman (IEEE Access, 2023)

A strategy creating high-resolution adversarial images against convolutional neural networks and a feasibility study on 10 CNNs. - Franck Leprévost; Ali Osman Topal; Elmir Avdusinovic; Raluca Chitic (J. Inf. Telecommun., 2023)

One evolutionary algorithm deceives humans and ten convolutional neural networks trained on ImageNet at image recognition. - Ali Osman Topal; Raluca Chitic; Franck Leprévost (Appl. Soft Comput., 2023)