Adversarial attacks on deep learning and defenses
M2, CentraleSupélec, 2024
I am the coordinator of this module since 2024.
Teaching
Web development and security
M2, CentraleSupélec, 2022
I was the coordinator of this module in 2022-2024. Besides, I teach the Flash backend framework.
System programming on Linux and Windows
M1, CentraleSupélec, 2020
I am in charge of this module since 2020.
Intrusion detection systems
M2, CentraleSupélec, 2020
I was the coordinator of this module in 2023-2024.
Graphs and algorithms
L3, INSA-Toulouse, 2018
This course presents some graph theory and their algorithms:
- Topological sort and level structure
- Breadth-first and depth-first search
- Shortest path algorithms: Dijkstra, Bellman-Ford
- Maximum flow / minimum cut with Ford-Fulkerson algorithm
Artificial intelligence
L3, University of Toulouse, 2015
This course aims to train the students in general artificial intelligence techniques:
- Representation of problems with state diagrams
- Automatic resolution with search algorithms (breadth-first search, depth-first search, iterative depth-first search, best-first, greedy search and A*)
- Exploration of game tree (minimax algorithm)
- Graph coloration (Welsh and Power algorithm and DSatur)
- Resolution of constraint satisfaction problems (backtrack and forward checking algorithms)
Machine learning, classification and Bayesian network
M1, UPSSITECH engineering school, 2015
This course aims to train the students in machine learning techniques:
- Overview of various ML techniques. Supervised learning (decision tree learning, k-nn, SVM) and unsupervised learning.
- Experiments with Weka, a data mining tool
- Bayesian reasoning and learning
- Project on reinforcement learning: the students must develop an agent that learns to escape a maze with Q-learning.