Misclassification Rate - Natural Adversarial Samples
1 papers with code • 0 benchmarks • 0 datasets
Misclassification Rate by Natural Adversarial Samples
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Most implemented papers
EvoSeed: Unveiling the Threat on Deep Neural Networks with Real-World Illusions
Deep neural networks are exploited using natural adversarial samples, which have no impact on human perception but are misclassified.
