Publications

• P. G. Arce and D. Ríos Insua. Adversarial Machine Learning. Wiley StatsRef: Statistics Reference Online, 2024.

• P. G. Arce, R. Naveiro and D. Ríos Insua. Evasion Attacks to Bayesian Predictive Models. In Uncertainty in Artificial Intelligence, 2025.

Conferences

• 41st Conference on Uncertainty in Artificial Intelligence: Contributed Talk: Evasion Attacks to Bayesian Predictive Models.

• Accelerating statistical inference and experimental design with machine learning: Poster: Evasion Attacks to Bayesian Predictive Models.

• BayesComp 2025: Poster: Evasion Attacks to Bayesian Predictive Models.

• XLI Congreso Nacional de Estadística e Investigación Operativa: Invited Session: Interdisciplinary applications of Bayesian Methods.

• 8th Symposium on Games and Decisions in Reliability and Risk: Contributed Talk: A pipeline to manage adversarial risks in Bayesian regression models.

• Bayesian Inference in Stochastic Processes: Poster: Optimizing Product Launching Decisions with Adversarial Risk Analysis.

• Mathematical Aspects of Learning Theory (2024): Poster: Robustness of ML systems against adversarial attacks from a Bayesian perspective.

• 3rd INFORMS Security Conference (2024): Contributed Talk: Security of ML systems in regression with adversaries.

• ISBA World Meeting (2024): Invited Talk: Product launching through adversarial risk analysis.

• 4th Spanish Young Statisticians and Operational Researchers Meeting (2024): Contributed Talk: A general framework for adversarial machine learning.

• International Workshop on Bayesian Statistics (2024): Contributed Talk: Bayesian perspectives of launching a software product.