Data Science Day @ Columbia University has ended
Columbia University’s Data Science Institute Presents:

Authors/Collaborators are listed in alphabetical order.

avatar for Salvatore Stolfo

Salvatore Stolfo

Columbia University
Professor of Computer Science
Salvatore J. Stolfo is Professor of Computer Science at Columbia University. He received his Ph.D. from NYU Courant Institute in 1979 and has been on the faculty of Columbia ever since. He won an IBM Faculty Development Award early in his academic career in 1983. He has published several books and well over 250 scientific papers since then, several winning best paper awards, in the areas of parallel computing, AI knowledge-based systems, data mining and most recently computer security and intrusion detection systems (see www.cs.columbia.edu/ids). He has been granted 33 patents in the areas of parallel computing and database inference and computer security; most have been licensed or sold. His research has been supported by DARPA, NSF, ONR, NSA, CIA, IARPA, AFOSR, ARO, NIST, DHS and numerous companies and state agencies over the years while at Columbia. Professor Stolfo has mentored over 30 PhD students (26 have graduated to date) and many dozens of Master's students. His most recent research is devoted to payload anomaly detection for zero-day exploits, secure private querying, private and anonymous network trace synthesis for Predict.org, Symbiotic embedded machines, automatic bait generation for trap-based defense to mitigate the insider threat and he recently conducted a study in the area of multi-core parallel computing. The following describe a number of systems and algorithms he invented and some of his professional activities over the years as a professor or as a consultant to industry or the US government. Stolfo's activities conducted in confidential settings is not reported here.

Recent viral media accounts of his work with student Ang Cui has captured the attention of many who persist in thinking printers can be commanded to burn. In fact, the results of research in the IDS lab show just the opposite. The interested reader may see the original account of the work on insecurity of embedded systems, specially HP printers, here: