Some Thoughts on Deep Learning and Infosec

Wednesday, January 17, 2018 - 3:30 pm4:00 pm

Jeremy Howard, fast.ai and USF

Abstract: 

If you want to be accepted into the ML hipster clique, just say the magic words: "deep learning is over-hyped," and watch those around you nod their heads sagely. But as a deep learning researcher I see little sign of that in practice. Approaches that are well understood in academia are not being well used in the infosec community, despite clear advantages. Perhaps it is actually the case that "deep learning is over-hyped" is over-hyped.

Open Access Media

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.

BibTeX
@conference {211744,
author = {Jeremy Howard},
title = {Some Thoughts on Deep Learning and Infosec},
year = {2018},
address = {Santa Clara, CA},
publisher = {{USENIX} Association},
}