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tessjedi's Projects

adversarial-logistic icon adversarial-logistic

Adversarial perturbation intensity strategy achieving chosen intra-technique transferability level for logistic regression

awesome-threat-modelling icon awesome-threat-modelling

A curated list of threat modeling resources (Books, courses - free and paid, videos, tools, tutorials and workshops to practice on ) for learning Threat modeling and initial phases of security review.

google-colab icon google-colab

A general repo for creating Colab Jupyter notebooks for MLflow tests and issues

keras-flask-deploy-webapp icon keras-flask-deploy-webapp

:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

lectures-labs icon lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

mindmap icon mindmap

This repository will contain many mindmaps for cyber security technologies, methodologies, courses, and certifications in a tree structure to give brief details about them

mlsec icon mlsec

PhD/MSc course on Machine Learning Security (Univ. Cagliari)

pilot icon pilot

When Less is Enough: Positive-Unlabeled Learning Model for Vulnerability Detection

pixellib icon pixellib

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

python-for-cybersecurity icon python-for-cybersecurity

This repository holds the Python scripts discussed in the Infosec Institute's Python for Cybersecurity learning Path

sam icon sam

Official Implementation for "Only a Matter of Style: Age Transformation Using a Style-Based Regression Model" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02754

stride-gpt icon stride-gpt

An AI-powered threat modeling tool that leverages OpenAI's GPT models to generate threat models for a given application based on the STRIDE methodology.

wildlife-conservation-project icon wildlife-conservation-project

This winning Hackathon project detects endangered species and poachers in the wild, sending real-time alerts for their protection. My Primary responsibility is to develop the entire machine learning model, and the project description includes its design and functionality details.

xai-caae icon xai-caae

Pytorch Implementation of the Explainable Conditional Adversarial Autoencoder using Saliency Maps and SHAP (J. of Imaging - MDPI)

yoloface icon yoloface

Deep learning-based Face detection using the YOLOv3 algorithm (https://github.com/sthanhng/yoloface)

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