Constance Morel

Title: The Innovative Journey of Constance Morel

Introduction

Constance Morel is a remarkable inventor based in Issy-les-Moulineaux, France. With a portfolio of six patents, she has made significant contributions to the field of secure data processing and neural networks. Her innovative spirit and dedication to advancing technology have gained her recognition among peers and professionals.

Latest Patents

Among her latest inventions, Constance has developed methods for secure learning of parameters in convolutional neural networks (CNN) and for secure input data classification. The first patent involves a method that allows for the secure learning of CNN parameters in an encrypted environment. The process utilizes homomorphically encrypted data for training, incorporating unique elements such as a non-linear layer that applies a polynomial function approximating an activation function. Additionally, the method employs a batch normalization layer before each non-linear layer and transmits the learned parameters for decryption and subsequent classification.

Another notable patent focuses on a multiparty secure calculation method that ensures protection against malicious parties. This method evaluates a function by applying a specific operation to sub-functions to yield reliable and secure results, demonstrating Constance's commitment to secure computational practices.

Career Highlights

Constance has had an impressive career, working with notable companies in the technology sector, including Idemia Identity & Security and Idemia Identity & Security France. Her experience in these organizations reflects her strong foundations in security technologies and innovative solutions.

Collaborations

Throughout her career, Constance has collaborated with esteemed professionals such as Herve Chabanne and Julien Bringer. These collaborations have enriched her work, allowing for the exchange of ideas and fostering an environment of creative innovation.

Conclusion

Constance Morel's contributions to the field of data security and neural networks exemplify the impact of innovation in technology. Her commitment to developing groundbreaking methods underscores the importance of secure data processing in today's digital landscape. As she continues to explore new frontiers, her work remains an inspiration to aspiring inventors and researchers alike.