DC-VAE, Fine-grained Anomaly Detection in Multivariate Time-Series with Dilated Convolutions and Variational Auto Encoders

Gastón García González; Sergio Martinez Tagliafico; Alicia Fernández; Gabriel Gómez; José Acuña; Pedro Casas-Hernandez

doi:10.1109/EuroSPW55150.2022.00035

DC-VAE, Fine-grained Anomaly Detection in Multivariate Time-Series with Dilated Convolutions and Variational Auto Encoders

Gastón García González (Vortragende:r)
, Sergio Martinez Tagliafico
, Alicia Fernández
, Gabriel Gómez
, José Acuña
, Pedro Casas-Hernandez

Data Science & Artifical Intelligence

Universidad de la República

Publikation: Beitrag in Buch oder Tagungsband › Beitrag in Tagungsband mit Posterpräsentation › Begutachtung

Originalsprache	Englisch
Titel	IEEE European Symposium on Security and Privacy Workshops (EuroS&PW 2022)
Seiten	287-293
Seitenumfang	7
DOIs	https://doi.org/10.1109/EuroSPW55150.2022.00035
Publikationsstatus	Veröffentlicht - 2022
Veranstaltung	7th Workshop on Traffic Measurements for Cybersecurity (WTMC) - Dauer: 6 Juni 2022 → …

Konferenz

Konferenz	7th Workshop on Traffic Measurements for Cybersecurity (WTMC)
Zeitraum	6/06/22 → …

Research Field

Ehemaliges Research Field - Data Science

Zugriff auf Dokument

10.1109/EuroSPW55150.2022.00035Lizenz: Nicht angegeben

Diese Publikation zitieren

González, G. G., Martinez Tagliafico, S., Fernández, A., Gómez, G., Acuña, J., & Casas-Hernandez, P. (2022). DC-VAE, Fine-grained Anomaly Detection in Multivariate Time-Series with Dilated Convolutions and Variational Auto Encoders. in IEEE European Symposium on Security and Privacy Workshops (EuroS&PW 2022) (S. 287-293) https://doi.org/10.1109/EuroSPW55150.2022.00035

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author = "Gonz{\'a}lez, \{Gast{\'o}n Garc{\'i}a\} and \{Martinez Tagliafico\}, Sergio and Alicia Fern{\'a}ndez and Gabriel G{\'o}mez and Jos{\'e} Acu{\~n}a and Pedro Casas-Hernandez",

year = "2022",

doi = "10.1109/EuroSPW55150.2022.00035",

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González, GG, Martinez Tagliafico, S, Fernández, A, Gómez, G, Acuña, J & Casas-Hernandez, P 2022, DC-VAE, Fine-grained Anomaly Detection in Multivariate Time-Series with Dilated Convolutions and Variational Auto Encoders. in IEEE European Symposium on Security and Privacy Workshops (EuroS&PW 2022). S. 287-293, 7th Workshop on Traffic Measurements for Cybersecurity (WTMC), 6/06/22. https://doi.org/10.1109/EuroSPW55150.2022.00035

DC-VAE, Fine-grained Anomaly Detection in Multivariate Time-Series with Dilated Convolutions and Variational Auto Encoders. / González, Gastón García (Vortragende:r); Martinez Tagliafico, Sergio; Fernández, Alicia et al.
IEEE European Symposium on Security and Privacy Workshops (EuroS&PW 2022). 2022. S. 287-293.

Publikation: Beitrag in Buch oder Tagungsband › Beitrag in Tagungsband mit Posterpräsentation › Begutachtung

TY - CHAP

T1 - DC-VAE, Fine-grained Anomaly Detection in Multivariate Time-Series with Dilated Convolutions and Variational Auto Encoders

AU - Martinez Tagliafico, Sergio

AU - Fernández, Alicia

AU - Gómez, Gabriel

AU - Acuña, José

AU - Casas-Hernandez, Pedro

A2 - González, Gastón García

PY - 2022

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DO - 10.1109/EuroSPW55150.2022.00035

M3 - Conference Proceedings with Poster Presentation

SN - 978-1-6654-9560-8

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EP - 293

BT - IEEE European Symposium on Security and Privacy Workshops (EuroS&PW 2022)

T2 - 7th Workshop on Traffic Measurements for Cybersecurity (WTMC)

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ER -