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Reference : UMR9189-FATHAM-007
Workplace : VILLENEUVE D ASCQ
Date of publication : Tuesday, May 04, 2021
Type of Contract : FTC Scientist
Contract Period : 18 months
Expected date of employment : 1 June 2021
Proportion of work : Full time
Remuneration : 2675.28 brut mensuel
Desired level of education : 5-year university degree
Experience required : Indifferent
Current methods in Image steganalysis suffer from a generalization problem when the image source domain is different from the target domain used during the training. This project will try to solve this problem.
The project will rely on deep learning steganalysis methods that are able to extract weak signals from images in order to perform steganalysis.
The principal goal of this project is to develop methods that use deep learning methods in order to face the exponential diversity of the weak signals embedded in digital images. These weak signals are signal of interest in steganalysis and their statistical properties strongly rely on the acquisition and the development of the raw image.
Skills in steganography and steganalysis of digital images are required. Coding skills in python and deep learning libraries such as pytorch or tensorflow will also be necessary.
CRIStAL was born on January 1st, 2015.
CRIStAL is one of the partner of the institute of interdisciplinary researches IRCICA-USR CNRS 3380 (https://ircica.univ-lille.fr/fr/linstitut).
Since January 2018, the three universities of Lille have merged into the University of Lille. CRIStAL's main tutelles (supervising entities) are the University of Lille, CNRS and Centrale Lille Institut. Its secondary tutelles are Inria Lille Nord Europe and IMT Lille-Douai.
The laboratory is composed of about 470 members (230 permanent employees and more than 240 non-permanent employees) among whom 28 permanent employees of the CNRS and 23 of Inria.
Main CRIStAL Research activities involve topics related to major scientific and social issues such as Big Data, software, image and its uses, human-computer interaction, robotics, control and supervision of large systems, intelligent vehicle systems, bio-informatics ... with applications in retails, technologies for health, smart grids.
Constraints and risks
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