Our paper “Intrusion Detection using Quantum Generative Adversarial Networks: A Federated Approach with Noisy Simulators” has been presented by Franco Cirillo at the Quantum Engineering and Technologies Conference (QETC), part of Space and Communication Week 2025 in London, UK.
In an era of ever-evolving cyber threats, our work investigates the integration of Quantum GANs (QGANs) with Federated Learning to strengthen intrusion detection systems.
Key highlights:
- Leveraging noisy quantum simulators to approximate real-device performance
- Combining federated architectures with QGANs for secure, decentralized training
- Demonstrating promising results in adversarial robustness and anomaly detection
For further details, please reach out to Franco Cirillo.