Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
This paper presents a predictable and quantifiable approach to designing a covert communication system capable of effectively exploiting covert channels found in the various layer...
We describe the design of, and experience with, Query, a monitoring system that supports the Akamai EdgePlatform. Query is a foundation of Akamai’s approach to administering its...
Thomas Repantis, Jeff Cohen, Scott Smith, Joel Wei...
—Generating a secret key between two parties by extracting the shared randomness in the wireless fading channel is an emerging area of research. Previous works focus mainly on si...