The increasing use of computing devices for social interactions propels the proliferation of online social applications, yet, it prompts a number of privacy concerns. One common p...
Emiliano De Cristofaro, Mark Manulis, Bertram Poet...
We study generalization properties of linear learning algorithms and develop a data dependent approach that is used to derive generalization bounds that depend on the margin distr...
The Information Fusion Panel within The Technical Cooperation Program (TTCP) is developing algorithms to perform machine-based situation assessment to assist human operators in co...
— A methodology is proposed to reduce power/ground and substrate coupling noise by randomizing the clock signal. A pseudo-random number generation algorithm is used to produce a ...
— In this paper, we investigate the channel selection strategy for secondary users in cognitive radio networks. We claim that in order to avoid the costly channel switchings, a s...