—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
In this paper, we present ShieldGen, a system for automatically generating a data patch or a vulnerability signature for an unknown vulnerability, given a zero-day attack instance...
Weidong Cui, Marcus Peinado, Helen J. Wang, Michae...
In this paper we present an in situ evaluation of a haptic system, with a representative test population, we aim to determine what, if any, benefit haptics can have in a biomolec...
Petter Bivall Persson, Matthew D. Cooper, Lena A. ...
— This paper proposes a TCP compatible greediness control mechanism that tunes the greediness of the multimedia streaming process based on client priority, in order to make more ...
—One key adaptation mechanism often deployed in networking and computing systems is dynamic load balancing. The goal from employing dynamic load balancers is to ensure that the o...
Mina Guirguis, Azer Bestavros, Ibrahim Matta, Yuti...