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1. Securing-On-Device-AI-Using-Autoencoder Securing-On-Device-AI-Using-Autoencoder Public

   This project shows how autoencoders can be used to detect black-box probing attacks on On-Device Machine Learning (ODML) systems. We developed a lightweight, anomaly-based defense mechanism that le…

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2. My-Projects My-Projects Public

   These are all the projects I have done. I will be updating this list as soon as I finish a new project

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3. Federated-Learning-with-Model-Personalization Federated-Learning-with-Model-Personalization Public

   This project simulates a Federated Learning system using non-IID MNIST data across multiple clients, focusing on collaborative training without data sharing. It tracks performance metrics like glob…

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4. Securing-On-Device-AI-From-Model-Probing-Attacks-Using-Autoencoder Securing-On-Device-AI-From-Model-Probing-Attacks-Using-Autoencoder Public

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