Fatma Gumus

Source-Rate Representations and Attention Autoencoders for Leakage-Safe Zero-Day Sybil Detection in UAV Networks

Machine learning intrusion detection for unmanned aerial vehicles (UAVs) reports extremely high accuracy on public benchmarks, but such figures depend critically on how models are evaluated, and they are often inflated by identifier leakage or collection artifacts. We study the harder, more realistic problem of leakage...