4 citations · 4 across the 5 of their papers we have counts for
5 papers
Evasion Attacks Against Bayesian Predictive Models
Pablo G. Arce, Roi Naveiro, David Ríos Insua
There is an increasing interest in analyzing the behavior of machine learning systems against adversarial attacks. However, most of the research in adversarial machine learning has…
Supporting product launching decisions with adversarial risk analysis
Pablo G. Arce, Sonali Das, David Ríos Insua
In a world of utility-driven marketing, each company acts as an adversary to other contenders, with all having competing interests. A major challenge for companies launching a new…
Forecasting Adversarial Actions Using Judgment Decomposition-Recomposition
Yolanda Gomez, Jesus Rios, David Rios Insua +1
In domains such as homeland security, cybersecurity and competitive marketing, it is frequently the case that analysts need to forecast adversarial actions that impact the problem…
A Cybersecurity Risk Analysis Framework for Systems with Artificial Intelligence Components
Jose Manuel Camacho, Aitor Couce-Vieira, David Arroyo +1
The introduction of the European Union Artificial Intelligence Act, the NIST Artificial Intelligence Risk Management Framework, and related norms demands a better understanding and…
A Graphical Adversarial Risk Analysis Model for Oil and Gas Drilling Cybersecurity
Aitor Couce Vieira, Siv Hilde Houmb, David Rios Insua
Oil and gas drilling is based, increasingly, on operational technology, whose cybersecurity is complicated by several challenges. We propose a graphical model for cybersecurity ris…