I am currently a PhD researcher at CryptoExperts company and LIP6 laboratory in Paris, France. My field of research is the security and verification of cryptographic implementations in the random probing model against side-channel attacks.
My thesis at CryptoExperts with LIP6 laboratory at Sorbonne University is focused on cryptography. Specifically, I am currently doing research on secure and verified cryptographic implementations against side-channel attacks in the random probing model.
My three year bachelor degree in computer science have prepared me to be a part of any software development project. The next years of my career helped me concentrate my skills in the cryptography and cybersecurity domain.
One of the main skills I am currently developing during my thesis at CryptoExperts is my ability to judge and review cryptographic implementations, specifications and protocols.
My career in a nutshell
My thesis subject is about secure and verified cryptographic implementations in the random probing model"
Obtained with an average of 18/20
Obtained with an average of 18/20
38.5 hours of tutorials
19.25 hours of tutorials, 19.25 hours of practical courses
19.25 hours of tutorials
19.25 hours of tutorials, 19.25 hours of practical courses
20 hours of tutorials, 20 hours of practical courses during the fall semester
Study of formal verification methods for the security of masking schemes in the random probing model against side-channel attacks, and introduction of new strategies to achieve arbitrary levels of random probing security. Under the supervision of Sonia BELAÏD and Matthieu RIVAIN
Study of Progressive Verification techniques for Digital Signatures based on Finite Fields, Lattices, Error-Correcting Codes. Attempts to find new ways of verification which would allow to spend less time on the computation, with high success probability. Under the supervision of Damien VERGNAUD
Introduction to research in the cryptography field, through special courses, and a first step in research under the supervision of Noboru KUNIHIRO
Study of different well-known neural networks (VGG, Resnet, Inception, Xception, ...) for the task of age estimation from face images, and comparison of their performance through implementation using KERAS. Under The supervision of Alice OTHMANI
CryptoExperts, 41 Boulevard des Capucines, 75002 Paris