Network traffic pattern recognition based on genetic algorithms. - Carlos Adrián Catania; Carlos García Garino (Inteligencia Artif., 2008)

Automatic network intrusion detection: Current techniques and open issues. - Carlos Adrián Catania; Carlos García Garino (Comput. Electr. Eng., 2012)

An autonomous labeling approach to support vector machines algorithms for network traffic anomaly detection. - Carlos Adrián Catania; Facundo Bromberg; Carlos García Garino (Expert Syst. Appl., 2012)

Towards reducing human effort in network intrusion detection. - Carlos Adrián Catania; Carlos García Garino (IDAACS, 2013)

Time-delayed multiple linear regression for increasing MEMS inertial sensor performance by using observations from a navigation-grade IMU. - Rodrigo Gonzalez; Carlos Adrián Catania (PLANS, 2016)

Model Validation of an Open-source Framework for Post-processing INS/GNSS Systems. - Rodrigo Gonzalez; Carlos Adrián Catania; Paolo Dabove; Juan Carlos Taffernaberry; Marco Piras (GISTAM, 2017)

Visual Exploration of Network Hostile Behavior. - Jorge L. Guerra; Carlos Adrián Catania; Eduardo E. Veas (ESIDA@IUI, 2017)

Deep Convolutional Neural Networks for DGA Detection. - Carlos Adrián Catania; Sebastián García; Pablo Torres (CACIC, 2018)

A statistical approach for optimal order adjustment of a moving average filter. - Rodrigo Gonzalez; Carlos Adrián Catania (PLANS, 2018)

A Study on Labeling Network Hostile Behavior with Intelligent Interactive Tools. - Jorge L. Guerra; Eduardo E. Veas; Carlos Adrián Catania (VizSEC, 2019)

Time-delayed multiple linear regression for de-noising MEMS inertial sensors. - Rodrigo Gonzalez; Carlos Adrián Catania (Comput. Electr. Eng., 2019)

Active learning approach to label network traffic datasets. - Jorge L. Guerra; Carlos Adrián Catania; Eduardo E. Veas (J. Inf. Secur. Appl., 2019)

DNS Tunneling: A Deep Learning based Lexicographical Detection Approach. - Franco Palau; Carlos Adrián Catania; Jorge L. Guerra; Sebastián García; Maria Rigaki (CoRR, 2020)

Datasets are not enough: Challenges in labeling network traffic. - Jorge L. Guerra; Carlos Adrián Catania; Eduardo E. Veas (Comput. Secur., 2022)

Beyond Random Split for Assessing Statistical Model Performance. - Carlos Adrián Catania; Jorge L. Guerra; Juan Manuel Romero; Gabriel Dario Caffaratti; Martín G. Marchetta (CoRR, 2022)

LLM in the Shell: Generative Honeypots. - Muris Sladic; Veronica Valeros; Carlos Adrián Catania; Sebastián García (EuroS&P Workshops, 2024)

Towards Better Understanding of Cybercrime: The Role of Fine-Tuned LLMs in Translation. - Veronica Valeros; Anna Sirokova; Carlos Adrián Catania; Sebastián García (EuroS&P Workshops, 2024)

Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments. - Maria Rigaki; Ondrej Lukás; Carlos Adrián Catania; Sebastián García (ICAART (3), 2024)

Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments. - Maria Rigaki; Carlos Adrián Catania; Sebastián García (CoRR, 2024)

LLMs for Domain Generation Algorithm Detection. - Reynier Leyva La O; Carlos Adrián Catania; Tatiana Parlanti (CoRR, 2024)