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Computer Science Seminar: Cyber-Security Using Statistical Learning
(Greater Washington DC Metro Area)
Harry Wechsler, professor in the Department of Computer Science at George Mason University, will discuss challenges related to developing and deploying robust cyber-security applications that can operate under adversarial conditions; methods characteristic of statistical learning and link analysis, in general, and adversarial and consensus learning, collective classification, and (filter-type and collaborative) recommender systems, in particular; and novel solutions. The ultimate challenge is that of autonomic computing, which is characterized by SELF healing, configuration, protection, and optimization.
Wechsler's research area is active authentication, adversarial and consensus learning, biometrics, change and anomaly detection, cyber security (spam, fraud, and phishing detection), data fusion, identity management, interoperability, performance evaluation, and re-identification.
He has authored three books, published more than 300 scientific papers, and (with his doctoral students) holds seven patents. He is a Fellow of IEEE and the International Association for Pattern Recognition (IAPR).
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