A CNN's activation entropy separates clean from FGSM-attacked image batches in a small VGG-16 test, but fitted binning, tiny samples, and contradictory numbers weaken the claim.
These information metrics provide non-invasive profiling of feature transformations across the network, enabling early detection of deviations in representation quality
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Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks
A CNN's activation entropy separates clean from FGSM-attacked image batches in a small VGG-16 test, but fitted binning, tiny samples, and contradictory numbers weaken the claim.