Nate Mathews

Nate Mathews

PhD Candidate specializing in the application of machine learning and deep learning techniques to address cybersecurity challenges, particularly in network traffic analysis.

Critical Evaluation of Efficient Website Fingerprinting Defenses

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Presented research on the paper “SoK: A Critical Evaluation of Efficient Website Fingerprinting Defenses” at the IEEE S&P 2023. This talk covered the comprehensive evaluation of nine recent defenses and their performance against deep-learning-based website fingerprinting attacks.