4 citations · 12 across the 6 of their papers we have counts for
5 papers · 1 filter
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:…
Understanding writing style in social media with a supervised contrastively pre-trained transformer
Javier Huertas-Tato, Alejandro Martin, David Camacho
Online Social Networks serve as fertile ground for harmful behavior, ranging from hate speech to the dissemination of disinformation. Malicious actors now have unprecedented freedo…
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…
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…
BERTuit: Understanding Spanish language in Twitter through a native transformer
Javier Huertas-Tato, Alejandro Martin, David Camacho
The appearance of complex attention-based language models such as BERT, Roberta or GPT-3 has allowed to address highly complex tasks in a plethora of scenarios. However, when appli…