Faisal Saeed, Dabin Park, Sayad Shayan Ali Shah, Junbeom Lee, Abdul Rehman, Jae-Mo Kang, II Min Kim, Sangseok Yun, and Sunghwan Moon, "Secure and Privacy-Preserving Intrusion Detection in Wireless Sensor Networks via Perturbation Adversarial Training," ACM Symposium on Applied Computing (SAC) 2026.
Azadeh Motamedi, Jae-Mo Kang, and Il-Min Kim, "NormFit: A Lightweight Solution for Few-Shot Federated Learning with Non-IID Data," Conference on Neural Information Processing Systems (NeurIPS) 2025 (**Spotlight** presentation).
Yuchuan Li, Jae-Mo Kang, and Il-Min Kim, "Beyond Clean Training Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data," Conference on Computer Vision and Pattern Recognition (CVPR) 2025.
Jamshid Tursunboev, Hyeonmin Choe, Sunghwan Moon, Il-Min Kim, and Jae-Mo Kang, "SoccerNet Challenge 2024," First Prize of the Dense Video Captioning task, CVsports Workshop, Conference on Computer Vision and Pattern Recognition (CVPR) 2024, arXiv: 2409.10587.