A DEA integrated grey factor analysis approach for efficiency evaluation and ranking in uncertain systems. - Mengdie Huang; Tangbin Xia; Zhen Chen 017; Ershun Pan; Lifeng Xi (Comput. Ind. Eng., 2021)

GAME: Generative-Based Adaptive Model Extraction Attack. - Yi Xie 011; Mengdie Huang; Xiaoyu Zhang 010; Changyu Dong; Willy Susilo; Xiaofeng Chen 001 (ESORICS (1), 2022)

Pre-perception and accurate recognition of coal-rock interface based on active excitation infrared characterization. - Haijian Wang; Lili Liu; Xuemei Zhao; Mengdie Huang; Zhenyu Wu; Qiang Zhang (J. Comput. Des. Eng., 2022)

Boost Off/On-Manifold Adversarial Robustness for Deep Learning with Latent Representation Mixup. - Mengdie Huang; Yi Xie 011; Xiaofeng Chen 001; Jin Li 002; Changyu Dong; Zheli Liu; Willy Susilo (AsiaCCS, 2023)

A Pro-Active Defense Framework for IoT Systems. - Elisa Bertino; Hyunwoo Lee 001; Mengdie Huang; Charalampos Katsis; Zilin Shen; Bruno Ribeiro 001; Daniel De Mello; Ashish Kundu (CIC, 2023)

MARS: Robustness Certification for Deep Network Intrusion Detectors via Multi-Order Adaptive Randomized Smoothing. - Mengdie Huang; Yingjun Lin; Xiaofeng Chen 001; Elisa Bertino (TrustCom, 2024)

ARIoTEDef: Adversarially Robust IoT Early Defense System Based on Self-Evolution against Multi-step Attacks. - Mengdie Huang; Hyunwoo Lee 001; Ashish Kundu; Xiaofeng Chen 001; Anand Mudgerikar; Ninghui Li; Elisa Bertino (ACM Trans. Internet Things, 2024)

Dimensional Robustness Certification for Deep Neural Networks in Network Intrusion Detection Systems. - Mengdie Huang; Yingjun Lin; Xiaofeng Chen 001; Elisa Bertino (ACM Trans. Priv. Secur., 2025)