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2020 – today
- 2024
[c10]Veronica Valeros, Anna Sirokova, Carlos Adrián Catania, Sebastian García:
Towards Better Understanding of Cybercrime: The Role of Fine-Tuned LLMs in Translation. EuroS&P Workshops 2024: 91-99- [c9]Muris Sladic, Veronica Valeros, Carlos Adrián Catania, Sebastian García:
LLM in the Shell: Generative Honeypots. EuroS&P Workshops 2024: 430-435 - [c8]Maria Rigaki, Ondrej Lukás, Carlos Adrián Catania, Sebastian García:
Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments. ICAART (3) 2024: 774-781 - [i7]Veronica Valeros, Anna Sirokova, Carlos Adrián Catania, Sebastian García:
Towards Better Understanding of Cybercrime: The Role of Fine-Tuned LLMs in Translation. CoRR abs/2404.01940 (2024) - [i6]Maria Rigaki, Carlos Adrián Catania, Sebastian García:
Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments. CoRR abs/2409.11276 (2024) - 2023
- [i5]Maria Rigaki, Ondrej Lukás, Carlos Adrián Catania, Sebastian García:
Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments. CoRR abs/2308.12086 (2023) - [i4]Muris Sladic, Veronica Valeros, Carlos Adrián Catania, Sebastian García:
LLM in the Shell: Generative Honeypots. CoRR abs/2309.00155 (2023) - 2022
- [j6]Jorge L. Guerra, Carlos Adrián Catania, Eduardo E. Veas:
Datasets are not enough: Challenges in labeling network traffic. Comput. Secur. 120: 102810 (2022) - [i3]Carlos Adrián Catania, Jorge L. Guerra, Juan Manuel Romero, Gabriel Dario Caffaratti, Martín G. Marchetta:
Beyond Random Split for Assessing Statistical Model Performance. CoRR abs/2209.03346 (2022) - 2021
- [i2]Jorge L. Guerra, Carlos Adrián Catania, Eduardo E. Veas:
Datasets are not Enough: Challenges in Labeling Network Traffic. CoRR abs/2110.05977 (2021) - 2020
- [i1]Franco Palau, Carlos Adrián Catania, Jorge L. Guerra, Sebastian García, Maria Rigaki:
DNS Tunneling: A Deep Learning based Lexicographical Detection Approach. CoRR abs/2006.06122 (2020)
2010 – 2019
- 2019
- [j5]Rodrigo Gonzalez, Carlos Adrián Catania:
Time-delayed multiple linear regression for de-noising MEMS inertial sensors. Comput. Electr. Eng. 76: 1-12 (2019) - [j4]Jorge L. Guerra, Carlos Adrián Catania, Eduardo E. Veas:
Active learning approach to label network traffic datasets. J. Inf. Secur. Appl. 49 (2019) - [c7]Jorge L. Guerra, Eduardo E. Veas, Carlos Adrián Catania:
A Study on Labeling Network Hostile Behavior with Intelligent Interactive Tools. VizSEC 2019: 1-10 - 2018
- [c6]Carlos Adrián Catania, Sebastian García, Pablo Torres:
Deep Convolutional Neural Networks for DGA Detection. CACIC 2018: 327-340 - [c5]Rodrigo Gonzalez, Carlos Adrián Catania:
A statistical approach for optimal order adjustment of a moving average filter. PLANS 2018: 1542-1546 - 2017
- [c4]Rodrigo Gonzalez, Carlos Adrián Catania, Paolo Dabove, Juan Carlos Taffernaberry, Marco Piras:
Model Validation of an Open-source Framework for Post-processing INS/GNSS Systems. GISTAM 2017: 201-208 - [c3]Jorge L. Guerra, Carlos Adrián Catania, Eduardo E. Veas
:
Visual Exploration of Network Hostile Behavior. ESIDA@IUI 2017: 51-54 - 2016
- [c2]Rodrigo Gonzalez, Carlos Adrián Catania:
Time-delayed multiple linear regression for increasing MEMS inertial sensor performance by using observations from a navigation-grade IMU. PLANS 2016: 15-20 - 2013
- [c1]Carlos Adrián Catania, Carlos García Garino:
Towards reducing human effort in network intrusion detection. IDAACS 2013: 655-660 - 2012
- [j3]Carlos Adrián Catania, Carlos García Garino:
Automatic network intrusion detection: Current techniques and open issues. Comput. Electr. Eng. 38(5): 1062-1072 (2012) - [j2]Carlos Adrián Catania, Facundo Bromberg, Carlos García Garino:
An autonomous labeling approach to support vector machines algorithms for network traffic anomaly detection. Expert Syst. Appl. 39(2): 1822-1829 (2012)
2000 – 2009
- 2008
- [j1]Carlos Adrián Catania, Carlos García Garino:
Network traffic pattern recognition based on genetic algorithms. Inteligencia Artif. 12(37): 65-75 (2008)
Coauthor Index
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