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Anouar MOUHOUB's Projects

adversarial-robustness-toolbox icon adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

evaluating_adversarial_attacks_botnet_detectors icon evaluating_adversarial_attacks_botnet_detectors

This repo implements and reviews "Evaluating the effectiveness of Adversarial Attacks against Botnet Detectors" by Apruzzese, Colajanni, and Marchetti. We replicate the ML techniques used to test 4 datasets and provide a detailed analysis of the results. Our review highlights limitations and invites feedback to improve the work.

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

finite-differences-for-the-wave-equation icon finite-differences-for-the-wave-equation

Finite differences is a numerical method approximating solutions to partial differential equations by dividing the domain into a grid, computing the difference between adjacent points to approximate derivatives. It's often used in physics and engineering for solving wave equations in acoustic and electromagnetic fields.

machine-learning- icon machine-learning-

Welcome to my machine learning repository! Here you'll find my latest work in AI & data science. Explore, fork, and contribute to enhance your skills too!

mlops icon mlops

This GitHub repository contains a Flask web application that uses a trained Support Vector Machine (SVM) model to predict the type of glass based on its refractive index (RI), sodium oxide content (Na), aluminum oxide content (Al), and calcium oxide content (Ca) using a simple HTML form.

piscine42 icon piscine42

๐Ÿ“‚๐Ÿ“„ Piscine 42 - Les sujets de ma piscine ร  42 (Juillet 2022) ainsi que les rรฉponses et videos d'aide.

stochastic-optimization icon stochastic-optimization

Stochastic optimization is a powerful technique used to solve optimization problems that involve uncertainty or randomness. In many real-life scenarios, such as in operational research, there are often multiple factors that affect the outcome of a decision, and many of these factors are uncertain or random.

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