Maxime Ossonce

Professor and PhD student in Signal processing and Telecommunications under the supervision of L2S (Signals and Systems Laboratory, CentraleSupélec / Paris-Saclay)
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 (in progress)

• Since 2019

  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