- idUS
- Listar por autor
Listar por autor "Fernández Maimó, Lorenzo"
Mostrando ítems 1-3 de 3
-
Ponencia
A Review of An Interpretable Semi-Supervised System for Detecting Cyberattacks Using Anomaly Detection in Industrial Scenarios [Póster]
Perales Gómez, Ángel Luis; Fernández Maimó, Lorenzo; Huertas Celdrán, Alberto; García Clemente, Félix J. (Universidad de Sevilla. Escuela Técnica Superior de Ingeniería Informática, 2024)The Anomaly Detection systems based on Ma chine Learning and Deep Learning techniques showed great performance when detecting ...
-
Ponencia
A Review of SUSAN: A Deep Learning based anomaly detection framework for sustainable industry [Póster]
Perales Gómez, Ángel Luis; Fernández Maimó, Lorenzo; Huertas Celdrán, Alberto; García Clemente, Félix J. (Universidad de Sevilla. Escuela Técnica Superior de Ingeniería Informática, 2024)Nowadays, sustainability is pivotal in green tech nologies, crucial for industries striving to cut carbon emissions and ...
-
Ponencia
A Review of VAASI: Crafting Valid and Abnormal Adversarial Samples for Anomaly Detection Systems in Industrial Scenarios [Póster]
Perales Gómez, Ángel Luis; Fernández Maimó, Lorenzo; Huertas Celdrán, Alberto; García Clemente, Félix J. (Universidad de Sevilla. Escuela Técnica Superior de Ingeniería Informática, 2024)Existing adversarial attacks are not feasible in industrial scenarios since they primarly deals with continuous features ...