Carlos Adrián Catania

According to our database, Carlos Adrián Catania authored at least 20 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

LLMs for Domain Generation Algorithm Detection.

Reynier Leyva La O, Carlos Adrián Catania, Tatiana Parlanti

CoRR, 2024

Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments.

Maria Rigaki, Carlos Adrián Catania, Sebastián García

CoRR, 2024

Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments.

Maria Rigaki, Ondrej Lukás, Carlos Adrián Catania, Sebastián García

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Towards Better Understanding of Cybercrime: The Role of Fine-Tuned LLMs in Translation.

Veronica Valeros, Anna Sirokova, Carlos Adrián Catania, Sebastián García

Proceedings of the IEEE European Symposium on Security and Privacy Workshops, 2024

LLM in the Shell: Generative Honeypots.

Muris Sladic, Veronica Valeros, Carlos Adrián Catania, Sebastián García

Proceedings of the IEEE European Symposium on Security and Privacy Workshops, 2024

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

Datasets are not enough: Challenges in labeling network traffic.

Jorge L. Guerra, Carlos Adrián Catania, Eduardo E. Veas

Comput. Secur., 2022

2020

DNS Tunneling: A Deep Learning based Lexicographical Detection Approach.

Franco Palau, Carlos Adrián Catania, Jorge L. Guerra, Sebastián García, Maria Rigaki

CoRR, 2020

2019

Active learning approach to label network traffic datasets.

Jorge L. Guerra, Carlos Adrián Catania, Eduardo E. Veas

J. Inf. Secur. Appl., 2019

Time-delayed multiple linear regression for de-noising MEMS inertial sensors.

Rodrigo Gonzalez, Carlos Adrián Catania

Comput. Electr. Eng., 2019

A Study on Labeling Network Hostile Behavior with Intelligent Interactive Tools.

Jorge L. Guerra, Eduardo E. Veas, Carlos Adrián Catania

Proceedings of the 16th IEEE Symposium on Visualization for Cyber Security, VizSec 2019, 2019

2018

A statistical approach for optimal order adjustment of a moving average filter.

Rodrigo Gonzalez, Carlos Adrián Catania

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2018

Deep Convolutional Neural Networks for DGA Detection.

Carlos Adrián Catania, Sebastián García, Pablo Torres

Proceedings of the Computer Science - CACIC 2018, 2018

2017

Visual Exploration of Network Hostile Behavior.

Jorge L. Guerra, Carlos Adrián Catania, Eduardo E. Veas

Proceedings of the 2017 ACM Workshop on Exploratory Search and Interactive Data Analytics, 2017

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

Proceedings of the GISTAM 2017, 2017

2016

Time-delayed multiple linear regression for increasing MEMS inertial sensor performance by using observations from a navigation-grade IMU.

Rodrigo Gonzalez, Carlos Adrián Catania

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2016

2013

Towards reducing human effort in network intrusion detection.

Carlos Adrián Catania, Carlos García Garino

Proceedings of the IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems, 2013

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

Automatic network intrusion detection: Current techniques and open issues.

Carlos Adrián Catania, Carlos García Garino

Comput. Electr. Eng., 2012

2008

Network traffic pattern recognition based on genetic algorithms.

Carlos Adrián Catania, Carlos García Garino

Inteligencia Artif., 2008