Maxime Ossonce

Professor in Signal processing and Telecommunications
ESME

Overview of research area

Image watermarking, Robustness of deep neural networks (out of distribtuion, misclassification detection).

Short biography

Professor at ESME since january 2016, I am currently fulfilling a PhD at LSS (Lignals and Systems Laboratory, CentraleSupelec/Paris-Saclay) on the study of robustness of deep learning models from the perspective of information theory.

Publications

• M. Ossonce, P. Duhamel, and F. Alberge, Adequate structuring of the latent space for easy classification and out-of-distribution detection, 32nd European Conference on Signal Processing (EUSIPCO 2024), Lyon, France, August 2024.
• M. Ossonce, G. Le Guelvouit, C. Delpha, and P. Duhamel, Game theoretic resolution of the rotation/scale insensitive watermarking problem, SPIE International Symposium on Electronic Imaging Science and Technology, San José, California, United States, January 2006.
• M. Ossonce, C. Delpha, and P. Duhamel, Rotation and scale insensitive image watermarking, 2004 International Conference on Image Processing (ICIP 2004), Vol. 4, pp. 2611-2614, Singapore, October 2004.

PhD in Signal processing and Telecommunications

• 2019-2025

  PhD in Signal processing and Telecommunications (in progress)

  University of Paris-Saclay, Saclay, France
• 2001-2002

  MASc of electrical engineering

  Sherbrooke University, Sherbrooke, Canada
• 1998-2001

  Engineering Diploma

  ENSTB (IMT Atlantique), Brest, France

Professor in Signal processing and Telecommunications

• Since 2016

  Professor in Signal processing and Telecommunications

  ESME, Ivry-sur-Seine, France
• 2007-2016

  Lecturer

  EFREI, Villejuif, France
• 2003-2006

  PhD Student

  Supélec, Gif-sur-Yvette, France
• 2001-2002

  Lecturer

  Sherbrooke University, Sherbrooke, Canada