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Found 3 papers, 0 papers with code
A Late Multi-Modal Fusion Model for Detecting Hybrid Spam E-mail
In recent years, spammers are now trying to obfuscate their intents by introducing hybrid spam e-mail combining both image and text parts, which is more challenging to detect in comparison to e-mails containing text or image only.
Optical Character Recognition
Optical Character Recognition (OCR)
Explainable Artificial Intelligence to Detect Image Spam Using Convolutional Neural Network
Image spam threat detection has continually been a popular area of research with the internet's phenomenal expansion.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey
This survey is conducted with a main intention of highlighting the most relevant information related to security vulnerabilities in the context of machine learning (ML) classifiers; more specifically, directed towards training procedures against data poisoning attacks, representing a type of attack that consists of tampering the data samples fed to the model during the training phase, leading to a degradation in the models accuracy during the inference phase.
