activity
20222024
most citedPART: Pre-trained Authorship Representation Transformer

4 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SI2024

DisTrack: a new Tool for Semi-automatic Misinformation Tracking in Online Social Networks

Guillermo Villar-Rodríguez, Álvaro Huertas-García, Alejandro Martín +2

Introduction: This article introduces DisTrack, a methodology and a tool developed for tracking and analyzing misinformation within Online Social Networks (OSNs). DisTrack is desig…

cs.CL2024

Camouflage is all you need: Evaluating and Enhancing Language Model Robustness Against Camouflage Adversarial Attacks

Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato +1

Adversarial attacks represent a substantial challenge in Natural Language Processing (NLP). This study undertakes a systematic exploration of this challenge in two distinct phases:…

cs.LG2023★ 1 cited

A Comparative Study of Machine Learning Algorithms for Anomaly Detection in Industrial Environments: Performance and Environmental Impact

Álvaro Huertas-García, Carlos Martí-González, Rubén García Maezo +1

In the context of Industry 4.0, the use of artificial intelligence (AI) and machine learning for anomaly detection is being hampered by high computational requirements and associat…

cs.CL2022★ 1 cited

Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word Camouflage

Álvaro Huertas-García, Alejandro Martín, Javier Huertas Tato +1

Content moderation is the process of screening and monitoring user-generated content online. It plays a crucial role in stopping content resulting from unacceptable behaviors such…

cs.CL2022★ 4 cited

PART: Pre-trained Authorship Representation Transformer

Javier Huertas-Tato, Alejandro Martin, David Camacho

Authors writing documents imprint identifying information within their texts: vocabulary, registry, punctuation, misspellings, or even emoji usage. Previous works use hand-crafted…

cs.CL2022★ 1 cited

Exploring Dimensionality Reduction Techniques in Multilingual Transformers

Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato +1

Both in scientific literature and in industry,, Semantic and context-aware Natural Language Processing-based solutions have been gaining importance in recent years. The possibiliti…