4 citations · 4 across the 4 of their papers we have counts for
8 papers
Adversarial attacks against Bayesian forecasting dynamic models
Roi Naveiro
The last decade has seen the rise of Adversarial Machine Learning (AML). This discipline studies how to manipulate data to fool inference engines, and how to protect those systems…
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…
Data sharing games
Víctor Gallego, Roi Naveiro, David Ríos Insua +1
Data sharing issues pervade online social and economic environments. To foster social progress, it is important to develop models of the interaction between data producers and cons…
Adversarial Risk Analysis (Overview)
David Banks, Víctor Gallego, Roi Naveiro +1
Adversarial risk analysis (ARA) is a relatively new area of research that informs decision-making when facing intelligent opponents and uncertain outcomes. It enables an analyst to…
Gradient Methods for Solving Stackelberg Games
Roi Naveiro, David Ríos Insua
Stackelberg Games are gaining importance in the last years due to the raise of Adversarial Machine Learning (AML). Within this context, a new paradigm must be faced: in classical g…
Reinforcement Learning under Threats
Victor Gallego, Roi Naveiro, David Rios Insua
In several reinforcement learning (RL) scenarios, mainly in security settings, there may be adversaries trying to interfere with the reward generating process. In this paper, we in…