most citedThe Adversarial Security Mitigations of mmWave Beamforming Prediction Models using Defensive Distillation and Adversarial Retraining

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CR2022★ 2 cited

The Adversarial Security Mitigations of mmWave Beamforming Prediction Models using Defensive Distillation and Adversarial Retraining

Murat Kuzlu, Ferhat Ozgur Catak, Umit Cali +2

The design of a security scheme for beamforming prediction is critical for next-generation wireless networks (5G, 6G, and beyond). However, there is no consensus about protecting t…