MAML_Poster.pdf
BIO
Daniel Clouse
Education: Phd Universal Algebra, Binghamton University 2002
Work Experience: DoD R&D, Applied Research Mathematician 2002 - Present
ABSTRACT
MIDAS
ABSTRACT
The Machine Intelligence Directed Attack Simulator (MIDAS) is a platform for researchers to experiment with machine learning attacks and defense.
Future of Cyber Security Enabled by AI
Dr. William W. Streilein is the Leader of the Cyber Analytics and Decision Systems Group, where he manages research and development programs in cyber security. His current research interests include the application of machine learning and modeling techniques to problems in cyber security.
Adversarial Machine Learning: Curiosity, Benefit, or Threat?
Lujo Bauer is an Associate Professor in the Electrical and Computer Engineering Department and in the Institute for Software Research at Carnegie Mellon University. He received his B.S. in Computer Science from Yale University in 1997 and his Ph.D., also in Computer Science, from Princeton University in 2003.
Advances in Machine Learning for Cyber Defense
ABSTRACT
Picking an attacker’s signals out of billions of log events in near real time from petabyte scale storage is a daunting task, but Microsoft has been using security data science at cloud scale to successfully disrupt attackers. This session will present the latest frameworks, techniques and the machine-learning algorithms that Microsoft uses to protect its infrastructure and customers.