most citedUsing Neural Networks to improve classical Operating System Fingerprinting techniques

13 citations · 31 across the 5 of their papers we have counts for

collaborators

5 papers

cs.PL20193 cited

The Random Conditional Distribution for Higher-Order Probabilistic Inference

Zenna Tavares, Xin Zhang, Edgar Minaysan +3

The need to condition distributional properties such as expectation, variance, and entropy arises in algorithmic fairness, model simplification, robustness and many other areas. At…

cs.AI20193 cited

Soft Constraints for Inference with Declarative Knowledge

Zenna Tavares, Javier Burroni, Edgar Minaysan +2

We develop a likelihood free inference procedure for conditioning a probabilistic model on a predicate. A predicate is a Boolean valued function which expresses a yes/no question a…

cs.SI201911 cited

Inference of Demographic Attributes based on Mobile Phone Usage Patterns and Social Network Topology

Carlos Sarraute, Jorge Brea, Javier Burroni +1

Mobile phone usage provides a wealth of information, which can be used to better understand the demographic structure of a population. In this paper, we focus on the population of…

cs.CR20101 cited

Outrepasser les limites des techniques classiques de Prise d'Empreintes grace aux Reseaux de Neurones

Javier Burroni, Carlos Sarraute

We present an application of Artificial Intelligence techniques to the field of Information Security. The problem of remote Operating System (OS) Detection, also called OS Fingerpr…

cs.CR201013 cited

Using Neural Networks to improve classical Operating System Fingerprinting techniques

Carlos Sarraute, Javier Burroni

We present remote Operating System detection as an inference problem: given a set of observations (the target host responses to a set of tests), we want to infer the OS type which…