6 citations · 20 across the 7 of their papers we have counts for
7 papers
TEL'M: Test and Evaluation of Language Models
George Cybenko, Joshua Ackerman, Paul Lintilhac
Language Models have demonstrated remarkable capabilities on some tasks while failing dramatically on others. The situation has generated considerable interest in understanding and…
A Survey of Neural Networks and Formal Languages
Joshua Ackerman, George Cybenko
This report is a survey of the relationships between various state-of-the-art neural network architectures and formal languages as, for example, structured by the Chomsky Language…
Analytic Properties of Trackable Weak Models
Mark Chilenski, George Cybenko, Isaac Dekine +2
We present several new results on the feasibility of inferring the hidden states in strongly-connected trackable weak models. Here, a weak model is a directed graph in which each n…
Observability Properties of Colored Graphs
Mark Chilenski, George Cybenko, Isaac Dekine +2
A colored graph is a directed graph in which nodes or edges have been assigned colors that are not necessarily unique. Observability problems in such graphs consider whether an age…
Control Flow Graph Modifications for Improved RF-Based Processor Tracking Performance
Mark Chilenski, George Cybenko, Isaac Dekine +2
Many dedicated embedded processors do not have memory or computational resources to coexist with traditional (host-based) security solutions. As a result, there is interest in usin…
Attacking and Defending Covert Channels and Behavioral Models
Valentino Crespi, George Cybenko, Annarita Giani
In this paper we present methods for attacking and defending -gram statistical analysis techniques that are used, for example, in network traffic analysis and covert channel det…
Learning Hidden Markov Models using Non-Negative Matrix Factorization
George Cybenko, Valentino Crespi
The Baum-Welsh algorithm together with its derivatives and variations has been the main technique for learning Hidden Markov Models (HMM) from observational data. We present an HMM…