2 citations · 2 across the 3 of their papers we have counts for
8 papers
Managing driving modes in automated driving systems
David Ríos Insua, William N. Caballero, Roi Naveiro
Current technologies are unable to produce massively deployable, fully autonomous vehicles that do not require human intervention. Such technological limitations are projected to p…
Insider threat modeling: An adversarial risk analysis approach
Chaitanya Joshi, David Rios Insua, Jesus Rios
Insider threats entail major security issues in geopolitics, cyber risk management and business organization. The game theoretic models proposed so far do not take into account som…
Protecting from Malware Obfuscation Attacks through Adversarial Risk Analysis
Alberto Redondo, David Rios Insua
Malware constitutes a major global risk affecting millions of users each year. Standard algorithms in detection systems perform insufficiently when dealing with malware passed thro…
Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs
Victor Gallego, David Rios Insua
A framework to boost the efficiency of Bayesian inference in probabilistic programs is introduced by embedding a sampler inside a variational posterior approximation. We call it th…
An Adversarial Risk Analysis Framework for Cybersecurity
David Rios Insua, Aitor Couce Vieira, Jose Antonio Rubio +3
Cyber threats affect all kinds of organisations. Risk analysis is an essential methodology for cybersecurity as it allows organisations to deal with the cyber threats potentially a…
Stochastic Gradient MCMC with Repulsive Forces
Victor Gallego, David Rios Insua
We propose a unifying view of two different Bayesian inference algorithms, Stochastic Gradient Markov Chain Monte Carlo (SG-MCMC) and Stein Variational Gradient Descent (SVGD), lea…