A Survey on Attacks and Their Countermeasures in Deep Learning: Applications in Deep Neural Networks, Federated, Transfer, and Deep Reinforcement Learning. - Haider Ali; Dian Chen 007; Matthew Harrington; Nathaniel Salazar; Mohannad Al Ameedi; Ahmad Faraz Khan 001; Ali Raza Butt; Jin-Hee Cho (IEEE Access, 2023)

Attack-Resistant, Energy-Adaptive Monitoring for Smart Farms: Uncertainty-Aware Deep Reinforcement Learning Approach. - Qisheng Zhang; Dian Chen 007; Yash Mahajan; Ing-Ray Chen; Dong Sam Ha; Jin-Hee Cho (IEEE Internet Things J., 2023)

susFL: Federated Learning-based Monitoring for Sustainable, Attack-Resistant Smart Farms. - Dian Chen 007; Paul Yang; Dong Sam Ha; Jin-Hee Cho (IEEE Big Data, 2024)

eMTD: Energy-Aware Moving Target Defense for Sustainable Solar-powered Sensor-based Smart Farms. - Dian Chen 007; Ing-Ray Chen; Dong Sam Ha; Jin-Hee Cho (NOMS, 2024)

SusFL: Energy-Aware Federated Learning-based Monitoring for Sustainable Smart Farms. - Dian Chen 007; Paul Yang; Ing-Ray Chen; Dong Sam Ha; Jin-Hee Cho (CoRR, 2024)

Energy-Adaptive and Robust Monitoring for Smart Farms Based on Solar-Powered Wireless Sensors. - Dian Chen 007; Qisheng Zhang; Ing-Ray Chen; Dong Sam Ha; Jin-Hee Cho (IEEE Internet Things J., 2024)

Sustainable Smart Farm Networks: Enhancing Resilience and Efficiency with Decision Theory-Guided Deep Reinforcement Learning. - Dian Chen 007; Zelin Wan; Dong Sam Ha; Jin-Hee Cho (CoRR, 2025)