Studying the Robustness of Anti-Adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors

Research article (IEEE Transactions on Dependable and Secure Computing, 2022) · cited 29× · AI/ML
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Studying the Robustness of Anti-Adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors

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Studying the Robustness of Anti-Adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Studying the Robustness of Anti-Adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors. Retrieved May 24, 2026, from https://4ort.xyz/entity/studying-the-robustness-of-anti-adversarial-federated-learning-models-detecting-cyberattacks-in-iot-spectrum-sensors
MLA “Studying the Robustness of Anti-Adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/studying-the-robustness-of-anti-adversarial-federated-learning-models-detecting-cyberattacks-in-iot-spectrum-sensors.
BibTeX @misc{4ortxyz_studying-the-robustness-of-anti-adversarial-federated-learning-models-detecting-cyberattacks-in-iot-spectrum-sensors_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Studying the Robustness of Anti-Adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors}}, year = {2026}, url = {https://4ort.xyz/entity/studying-the-robustness-of-anti-adversarial-federated-learning-models-detecting-cyberattacks-in-iot-spectrum-sensors}, note = {Accessed: 2026-05-24}}
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