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As a member of the Intrusion Detection Systems group at Columbia, I performed research on the use of machine learning as a way to detect attacks on computer networks. Specifically, I worked on using performing unsupervised anomaly detection (UAD) on large sets of network connection data. UAD attempts to find anomalous data instances within a sample space without knowing the labels of the preexisting instances.
Anomaly Detection and Machine Learning
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