AutoML-and-Adversarial-Attack-Defense-for-Zero-Touch-Network-Security
PublicThis repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.
6gadversarial-attacksadversarial-machine-learningautomated-machine-learningautomlconcept-driftcybersecuritydata-stream-processingdata-streamsdeep-learning
Creat：2023-08-17T22:13:07
Update：2025-03-24T04:28:37
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