Author

Alberto Miguel Bonastre Pina

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Open access 2026

Hardening the IoT Edge: A TRADES-Based Approach for Robust Network Intrusion Detection

This work seeks to prove that TRADES, which uses KL divergence regularization, does not exhibit this trade-off on IoT tabular data, and shows that TRADES enables aligning the decision boundaries of the DNN with causal traffic feature spaces rather than vulnerable anomalies.

A. S. Azez, Maytham S. Jabor, Alberto Miguel Bonastre Pina et al. · IEEE Access · 0 citations