Machine learning systems offer unparalled flexibility in dealing with evolving input in a variety of applications, such as intrusion detection systems and spam e-mail filtering. H...
Marco Barreno, Blaine Nelson, Russell Sears, Antho...
We propose a new set of criteria for learning algorithms in multi-agent systems, one that is more stringent and (we argue) better justified than previous proposed criteria. Our cr...
In mobile networks, authentication is a required primitive of the majority of security protocols. However, an adversary can track the location of mobile nodes by monitoring pseudo...
Julien Freudiger, Mohammad Hossein Manshaei, Jean-...
How do we build algorithms for agent interactions with human adversaries? Stackelberg games are natural models for many important applications that involve human interaction, such...
James Pita, Manish Jain, Milind Tambe, Fernando Or...
Motivated by recent applications of pushdown systems to computer security problems, we present an efficient algorithm for the reachability problem of alternating pushdown systems. ...
Dejvuth Suwimonteerabuth, Stefan Schwoon, Javier E...