Explainable Artificial Intelligence to Detect Image Spam Using Convolutional Neural Network. (arXiv:2209.03166v1 [cs.CV])

Image spam threat detection has continually been a popular area of research
with the internet's phenomenal expansion. This research presents an explainable
framework for detecting spam images using Convolutional Neural Network(CNN)
algorithms and Explainable Artificial Intelligence (XAI) algorithms. In this
work, we use CNN model to classify image spam respectively whereas the post-hoc
XAI methods including Local Interpretable Model Agnostic Explanation (LIME) and
Shapley Additive Explanations (SHAP) were deployed to provide explanations for
the decisions that the black-box CNN models …

artificial artificial intelligence intelligence network neural network spam