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Achievement: Pull Shark

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opeajibuwa/README.md
  • 👋 Hi, I'm Ope Ajibuwa.
  • 👀 I'm passionate about safeguarding users and organizations from security and privacy threats.
  • 💡 Currently researching the implementation of Privacy Enhancing Technologies (PETs) for Internet-of-Things (IoT).
  • 💞️ Open to collaborations on data-driven network and cloud security projects.
  • 📫 Feel free to reach me via email: ajibuwa94@gmail.com.

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  1. misbehavior-detection-for-vehicular-networks-communication misbehavior-detection-for-vehicular-networks-communication Public

    Ensemble Machine Learning-based Misbehavior Detection - ECE599 Final Project

    Jupyter Notebook 2 1

  2. inpainting-of-image-pixels-using-l1-norm-minimization inpainting-of-image-pixels-using-l1-norm-minimization Public

    This project revisits the image restoration issue. The idea is that minimizing the l1 norm of the discrete gradient of a damaged image yields an output that is barely noticeable from the original n…

    Python 2

  3. side-channel-attacks-on-AES-128 side-channel-attacks-on-AES-128 Public

    Repo contains codes implemented for different side channel attacks and faults for CS579 (physical attacks and countermeasures) for my Master's at Oregon State University

    Jupyter Notebook 3 1

  4. word-embedding-for-sentiment-classification word-embedding-for-sentiment-classification Public

    This project explores the use of glove embedding to improve twitter sentiment classification performance - AI534 class

    Jupyter Notebook 1

  5. slides slides Public

    materials and slides for talks I've given in the past

  6. Common-attacks-defenses-on-deep-learning-models Common-attacks-defenses-on-deep-learning-models Public

    Implementation of common attack and defense techniques against ML/DL models. This was done as assignments for the Trustworthy ML (CS 579) class at Oregon State University

    Jupyter Notebook 1