Search Results for author:
Found 4 papers, 0 papers with code
Metricizing the Euclidean Space towards Desired Distance Relations in Point Clouds
Given a set of points in the Euclidean space $\mathbb{R}^\ell$ with $\ell>1$, the pairwise distances between the points are determined by their spatial location and the metric $d$ that we endow $\mathbb{R}^\ell$ with.
Decisions with Uncertain Consequences -- A Total Ordering on Loss-Distributions
Decisions are often based on imprecise, uncertain or vague information.
HoneyCar: A Framework to Configure HoneypotVulnerabilities on the Internet of Vehicles
By taking a game-theoretic approach, we model the adversarial interaction as a repeated imperfect-information zero-sum game in which the IoV network administrator chooses a set of vulnerabilities to offer in a honeypot and a strategic attacker chooses a vulnerability of the IoV to exploit under uncertainty.
Supervised Machine Learning with Plausible Deniability
We study the question of how well machine learning (ML) models trained on a certain data set provide privacy for the training data, or equivalently, whether it is possible to reverse-engineer the training data from a given ML model.
