9 citations · 10 across the 7 of their papers we have counts for
7 papers
Quantum Chemistry in a Novel Hybrid Dipolar Atom-Ion Mixture
Claudia Galantini, Mateo Londoño, Luc Verwaal +3
Merging trapped ions with cold atomic clouds offers intriguing prospects for quantum chemistry and many-body quantum simulations. Especially when going beyond the standard alkali a…
Capturing the security expert knowledge in feature selection for web application attack detection
Amanda Riverol, Gustavo Betarte, Rodrigo Martínez +1
This article puts forward the use of mutual information values to replicate the expertise of security professionals in selecting features for detecting web attacks. The goal is to…
Diffusion models meet image counter-forensics
Matías Tailanian, Marina Gardella, Álvaro Pardo +1
From its acquisition in the camera sensors to its storage, different operations are performed to generate the final image. This pipeline imprints specific traces into the image to…
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold
Matías Tailanian, Álvaro Pardo, Pablo Musé
In this work we propose a one-class self-supervised method for anomaly segmentation in images that benefits both from a modern machine learning approach and a more classic statisti…
A Contrario multi-scale anomaly detection method for industrial quality inspection
Matías Tailanian, Pablo Musé, Álvaro Pardo
Anomalies can be defined as any non-random structure which deviates from normality. Anomaly detection methods reported in the literature are numerous and diverse, as what is consid…
A Multi-Scale A Contrario method for Unsupervised Image Anomaly Detection
Matias Tailanian, Pablo Musé, Álvaro Pardo
Anomalies can be defined as any non-random structure which deviates from normality. Anomaly detection methods reported in the literature are numerous and diverse, as what is consid…
Machine learning-assisted virtual patching of web applications
Gustavo Betarte, Eduardo Giménez, Rodrigo Martínez +1
Web applications are permanently being exposed to attacks that exploit their vulnerabilities. In this work we investigate the application of machine learning techniques to leverage…