A HITL-Integrated Machine Learning Approach to Secure Drone Networks for IIoT Applications. - Qingli Zeng; Farid Naït-Abdesselam; ZhiQiang Chen (GLOBECOM (Workshops), 2023)

Realtime Intrusion Detection In Unmanned Aerial Vehicles Using Active Learning and Generative Adversarial Networks. - Qingli Zeng; Kailynn Barnt; Luke Ragan; Farid Naït-Abdesselam (ICPADS, 2023)

FGA-IDS: A Federated Learning and GAN-Augmented Intrusion Detection System for UAV Networks. - Qingli Zeng; Semire Olatunde-Salawu; Farid Naït-Abdesselam (CIC, 2024)

Cooperative and Autonomous Flocking of Drones Using an Extended BOID Model. - Qingli Zeng; Harir Razzazi; Farid Naït-Abdesselam (GLOBECOM, 2024)

Multi-Agent Reinforcement Learning-Based Extended Boid Modeling for Drone Swarms. - Qingli Zeng; Farid Naït-Abdesselam (ICC, 2024)

Leveraging Human-In-The-Loop Machine Learning and GAN-Synthesized Data for Intrusion Detection in Unmanned Aerial Vehicle Networks. - Qingli Zeng; Farid Naït-Abdesselam (ICC, 2024)

An Enhanced Online K-Means Algorithm for Flooding Attacks Detection in Vehicular Networks. - Harir Razzazi; Qingli Zeng; Farid Naït-Abdesselam (IWCMC, 2024)

CTGAN Enhanced Dataset for UAV Network Intrusion Detection. - Qingli Zeng; Farid Naït-Abdesselam (IEEE DataPort, 2024)

Enhancing UAV Network Security: A Human-in-the-Loop and GAN-Based Approach to Intrusion Detection. - Qingli Zeng; Farid Naït-Abdesselam (IEEE Internet Things J., 2025)