An attacker can classify CNN vs RNN traffic in a simulated federated learning setup with up to 100% accuracy, but the experiment conflates model architecture with dataset and uses only 39 traffic captures.
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Fingerprinting Deep Learning Models via Network Traffic Patterns in Federated Learning
An attacker can classify CNN vs RNN traffic in a simulated federated learning setup with up to 100% accuracy, but the experiment conflates model architecture with dataset and uses only 39 traffic captures.