Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
We describe a new attack against web authentication, which we call dynamic pharming. Dynamic pharming works by hijacking DNS and sending the victim’s browser malicious Javascrip...
Chris Karlof, Umesh Shankar, J. Doug Tygar, David ...
This paper describes efforts by the University of Pennsylvania's Linguistic Data Consortium to create and distribute shared linguistic resources – including data, annotation...
In software protection we typically have to deal with the white-box attack model. In this model an attacker is assumed to have full access to the software and full control over it...