Compressive Features in Offline Reinforcement Learning for Recommender Systems. - Minh Pham; Hung Nguyen; Long Dang; Jennifer Adorno Nieves (IEEE BigData, 2021)

ML Attack Models: Adversarial Attacks and Data Poisoning Attacks. - Jing Lin; Long Dang; Mohamed Rahouti; Kaiqi Xiong (CoRR, 2021)

A Multitask Learning Framework for Speaker Change Detection with Content Information from Unsupervised Speech Decomposition. - Hang Su; Danyang Zhao; Long Dang; Minglei Li 001; Xixin Wu; Xunying Liu; Helen Meng (ICASSP, 2022)

Improving Machine Learning Robustness via Adversarial Training. - Long Dang; Thushari Hapuarachchi; Kaiqi Xiong; Jing Lin (ICCCN, 2023)

SDN-Based False Data Detection With Its Mitigation and Machine Learning Robustness for In-Vehicle Networks. - Long Dang; Thushari Hapuarachchi; Kaiqi Xiong; Yi Li (ICCCN, 2025)

Securing Traffic Sign Recognition Systems in Autonomous Vehicles. - Thushari Hapuarachchi; Long Dang; Kaiqi Xiong (ICCCN, 2025)