In data-plane deployment of DNNs allows for improved edge functionality and intrusion detection. We report on the increased resilience of in-switch LUT-distilled neural networks to white-box and black-box adversarial attacks.
Assessing the Robustness of In-Switch Neural Networks Against Adversarial DDoS Attacks
Andriolli N.;
2025-01-01
Abstract
In data-plane deployment of DNNs allows for improved edge functionality and intrusion detection. We report on the increased resilience of in-switch LUT-distilled neural networks to white-box and black-box adversarial attacks.File in questo prodotto:
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