🖥️ Implement an AI-based keystroke dynamics authentication system that identifies users by their unique typing patterns for enhanced security.
A biometric authentication system using keystroke dynamics with modified Manhattan distance metric. Implements digraph timing feature extraction and achieves 7.75% EER on free-text keystroke data. Course project for CSN-371 Artificial Intelligence.
This repository contains the code and resources associated with my Bachelor's Thesis. The project evaluates the performance of various automatic speaker verification (ASV) systems against identity spoofing attacks generated using text-to-speech (TTS) synthesis technologies.
FEERCI: A Package for Fast non-parametric confidence intervals for Equal Error Rates
PyEER is a python package for biometric systems performance evaluation. Includes ROC, DET, FNMR, FMR and CMC curves plotting, scores distribution plotting, EER and operating points estimation. It can be also used to evaluate binary classification systems.
Undergraduate Nutrition course materials
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