In this paper, we revisit this security vulnerability as an adversarial machine learning problem and propose a novel learning-empowered attack framework named ...
May 4, 2019 · In this paper, we revisit this security vulnerability as an adversarial machine learning problem and propose a novel learning-empowered attack ...
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Learning-empowered Attacks in Cooperative Spectrum Sensing
www.researchgate.net › publication › 33...
Defense strategies have been well studied to combat Byzantine attacks that aim to disrupt cooperative spectrum sensing by sending falsified sensing data.
This paper revisits this security vulnerability as an adversarial machine learning problem and proposes a novel learning-empowered attack framework named ...
Learning-Empowered Attacks in Cooperative Spectrum Sensing
www.researchgate.net › publication › 34...
In this paper, we revisit this security vulnerability as an adversarial machine learning problem and propose a novel learning-empowered attack framework named ...
May 4, 2019 · When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing ... Defense strategies have been well studied to combat ...
When attackers meet AI: Learning-empowered attacks in cooperative spectrum sensing ... machine learning attacks in cooperative spectrum sensing. Z Luo, S Zhao, R ...
May 4, 2019 · When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing ... cooperative spectrum sensing by sending falsified sensing ...
Jul 2, 2021 · Cooperative spectrum sensing, machine learning ... Machine Learning Attacks in Cooperative Spectrum Sensing. ... "When attackers meet AI: Learning- ...
When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing ... In this paper, we revisit this security vulnerability as an adversarial ...