ADCP extracts single-neuron-per-layer critical paths via genetic mutation and uses an SVDD voting ensemble to separate normal from adversarial, out-of-distribution, and noisy inputs.
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Anomaly Detection Based on Critical Paths for Deep Neural Networks
ADCP extracts single-neuron-per-layer critical paths via genetic mutation and uses an SVDD voting ensemble to separate normal from adversarial, out-of-distribution, and noisy inputs.