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In this paper, we revisit this security vulnerability as an adversarial machine learning problem and propose a novel learning-empowered attack framework.
Oct 12, 2020 · In this paper, we revisit this security vulnerability as an adversarial machine learning problem and propose a novel learning-empowered attack ...
This paper revisits this security vulnerability as an adversarial machine learning problem and proposes a novel learning-empowered attack framework named ...
In this paper, we revisit this security vulnerability as an adversarial machine learning problem and propose a novel learning-empowered attack framework named ...
Our real-world experiments show that the LEB attack is very effective to beat a wide range of existing defense strategies with an up to 82% of success ratio.
Publications · When attackers meet AI: Learning-empowered attacks in cooperative spectrum sensing, · Adversarial machine learning based partial-model attack in ...
When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing ... In this paper, we revisit this security vulnerability as an adversarial ...
When attackers meet AI: Learning-empowered attacks in cooperative spectrum sensing. Z Luo, S Zhao, Z Lu, J Xu, YE Sagduyu. IEEE Transactions on Mobile Computing ...
Lu, J. Xu, and Y. E. Sagduyu, "When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing," IEEE Transactions on Mobile Computing, 2022.