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ORCIDGonzalo Marín
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2020 – today
- 2020
[i1]Gonzalo Marín, Pedro Casas, Germán Capdehourat:
DeepMAL - Deep Learning Models for Malware Traffic Detection and Classification. CoRR abs/2003.04079 (2020)
2010 – 2019
- 2019
- [c6]Gonzalo Marín, Pedro Casas, Germán Capdehourat:
Deep in the Dark - Deep Learning-Based Malware Traffic Detection Without Expert Knowledge. IEEE Symposium on Security and Privacy Workshops 2019: 36-42 - [c5]Pedro Casas, Gonzalo Marín, Germán Capdehourat, Maciej Korczynski:
MLSEC - Benchmarking Shallow and Deep Machine Learning Models for Network Security. IEEE Symposium on Security and Privacy Workshops 2019: 230-235 - 2018
- [j1]Gonzalo Marín, Pedro Casas, Germán Capdehourat:
DeepSec meets RawPower - Deep Learning for Detection of Network Attacks Using Raw Representations. SIGMETRICS Perform. Evaluation Rev. 46(3): 147-150 (2018) - [c4]Gonzalo Marín, Pedro Casas, Germán Capdehourat:
RawPower: Deep Learning based Anomaly Detection from Raw Network Traffic Measurements. SIGCOMM Posters and Demos 2018: 75-77 - 2014
- [c3]Pablo Flores Guridi, Andres Gomez Caram, Agustin Labandera, Gonzalo Marín, María Simon:
Studying digital terrestrial TV coverage. BMSB 2014: 1-5 - [c2]Germán Capdehourat, Gonzalo Marín, Ana Inés Rodríguez:
Plan Ceibal's Wireless Network for the Implementation of the 1: 1 Educational Model. LANC 2014: 9:1-9:4
2000 – 2009
- 2002
- [c1]Juan-Carlos Letelier, Gonzalo Marín, Jorge Mpodozis, Jorge Soto Andrade:
Anticipatory Computing with Autopoietic and (M, R) Systems. HIS 2002: 205-211
Coauthor Index
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