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Achievement: Arctic Code Vault ContributorAchievement: Starstruck

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Achievement: Arctic Code Vault ContributorAchievement: Starstruck

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notem/README.md

👋 About Me

I am a PhD candidate at the Rochester Institute of Technology, where I am advised by Dr. Matthew Wright. My research lies at the intersection of cybersecurity, privacy, and machine learning, with a focus on applying advanced AI techniques to:

  • 🔍 Network Traffic Analysis
  • 🕵️‍♂️ Website Fingerprinting
  • 🔗 Flow Correlation Attacks

My work explores both offensive and defensive strategies to address privacy vulnerabilities in modern anonymity networks like Tor.

In addition to website fingerprinting and traffic correlation, I have experience in areas such as:

  • 🤖 Adversarial Machine Learning
  • 🚨 Intrusion Detection
  • 🔒 Data-Driven Privacy Defenses

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  1. Laserbeak-WF-Classifier Public

    An improved website fingerprinting classification model that achieves state-of-the-art against defended network traffic

    Python 3 4

  2. ESPRESSO-Flow-Correlation Public

    An improved traffic correlation method for end-to-end flow correlation attacks against Tor that outperforms prior state-of-the-art

    Python 1

  3. reWeFDE Public

    Reimplementation of the WeFDE information leakage analysis technique for website fingerprinting analysis in Python3.

    Python 21 6

  4. SSI-Simulator Public

    Forked from tms2744/SSI-Simulator

    An in development Stepping Stone Intrusion simulator (aka. Pivoting attacks) for detection research.

    Python 1

  5. tor-browser-crawler Public

    Python 5 3

  6. DeepCOFFEA-Crawler Public

    Python 2

56 contributions in the last year

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April 2025

Created 2 commits in 1 repository
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