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

2 citations · 3 across the 4 of their papers we have counts for

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cs.LG2021★ 1 cited

Adversarial Machine Learning Security Problems for 6G: mmWave Beam Prediction Use-Case

Evren Catak, Ferhat Ozgur Catak, Arild Moldsvor

6G is the next generation for the communication systems. In recent years, machine learning algorithms have been applied widely in various fields such as health, transportation, and…