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Found 2 papers, 2 papers with code
Detecting DGA domains with recurrent neural networks and side information
Our experiments show the model is capable of effectively identifying domains generated by difficult DGA families.
Detecting Adversarial Samples from Artifacts
Deep neural networks (DNNs) are powerful nonlinear architectures that are known to be robust to random perturbations of the input.
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