FAME
Published:
FAME: Framework for Adversarial Malware Evaluation. This work aims to evaluate adversarial attacks and increase the resilience of malware classifiers against adaptive adversaries.
Portfolio
Predicting H-1B visa eligibility in the US
Published:
This projects aims to train a classifier, based on a dataset provided by the US Department of Labor, to be able to predict whether a visa request would be granted eligibility to the H-1B program. This is the Capstone Project for Udacity’s Machine Learning Engineer Nanodegree.