4 papers
Random points on with small logarithmic energy
Ujué Etayo, Pablo G. Arce
We analyse several constructions of random point sets on the sphere evaluating and comparing them through their discrete logarithmic energy: \be…
A unifying Bayesian framework for adversarial robustness
Pablo G. Arce, Roi Naveiro, David Ríos Insua
The vulnerability of machine learning models to adversarial attacks remains a critical societal security challenge. Traditional defenses, such as adversarial training, typically ro…
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…
Optimal product launch in uncertain competitive markets: A multi-agent adversarial risk analysis framework
Pablo G. Arce, Sonali Das, David Ríos Insua
Product launching is a nuanced problem that entails choosing numerous decision variables, including timing, pricing, quality, and marketing strategy. Furthermore, decision-makers m…