The distribution of content encoded in images or the use of Leetspeak are concrete and clear examples of techniques currently used to bypass filters. Despite ...
The evolution of anti-spam filters has forced spammers to make greater efforts to bypass filters in order to distribute content over networks.
The evolution of anti-spam filters has forced spammers to make greater efforts to bypass filters in order to distribute content over networks.
A simple deep convolutional neural network is designed to discriminate between benign and malignant skin lesions. For fair comparison standard deep learning ...
2023. Deobfuscating leetspeak with deep learning to improve spam filtering. I Vélez de Mendizabal, X Vidriales Mazorriaga, I Ezpeleta, U Zurutuza. UNIR ...
Deobfuscating Leetspeak With Deep Learning to Improve Spam Filtering ... Image dataset to train a deep learning model to decode Leetspeak obfuscated characters.
"Deobfuscating Leetspeak With Deep Learning to Improve Spam Filtering", International Journal of Interactive Multimedia and Artificial Intelligence, vol. 8 ...
Deobfuscating leetspeak with deep learning to improve spam filtering . Velez de Mendizabal, Iñaki; Vidriales Mazorriaga, Xabier; Ezpeleta, Iñigo; Zurutuza ...
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Deobfuscating Leetspeak With Deep Learning to Improve Spam Filtering . Vélez de Mendizabal, Iñaki; Vidriales, Xabier; Basto-Fernandes, Vitor; Ezpeleta ...
During the last years several techniques to detect spam have been developed, achieving specially good results using machine learning algorithms. In this work we ...