| 2026 | ACL | From Attack Surfaces to Actual Operations: A Survey of Modern LLM Jailbreaks. | Ruikang Zhou, Changsheng Sun, Mark Huasong Meng |
| 2025 | WWW | Understanding and Detecting File Knowledge Leakage in GPT App Ecosystem. | Chuan Yan, Bowei Guan, Yazhi Li, Mark Huasong Meng, Liuhuo Wan, Guangdong Bai |
| 2024 | ICECCS | Analyzing Excessive Permission Requests in Google Workspace Add-Ons. | Liuhuo Wan, Chuan Yan, Mark Huasong Meng, Kailong Wang, Haoyu Wang |
| 2024 | ICSE | Are Your Requests Your True Needs? Checking Excessive Data Collection in VPA App. | Fuman Xie, Chuan Yan, Mark Huasong Meng, Shao-Ming Teng, Yanjun Zhang, Guangdong Bai |
| 2024 | WWW | Privacy-Preserving and Fairness-Aware Federated Learning for Critical Infrastructure Protection and Resilience. | Yanjun Zhang, Ruoxi Sun, Liyue Shen, Guangdong Bai, Minhui Xue, Mark Huasong Meng, Xue Li, Ryan K. L. Ko, Surya Nepal |
| 2023 | ICECCS | Supervised Robustness-preserving Data-free Neural Network Pruning. | Mark Huasong Meng, Guangdong Bai, Sin G. Teo, Jin Song Dong |
| 2023 | ICFEM | Formalizing Robustness Against Character-Level Perturbations for Neural Network Language Models. | Zhongkui Ma, Xinguo Feng, Zihan Wang, Shuofeng Liu, Mengyao Ma, Hao Guan, Mark Huasong Meng |
| 2023 | NDSS | Post-GDPR Threat Hunting on Android Phones: Dissecting OS-level Safeguards of User-unresettable Identifiers. | Mark Huasong Meng, Qing Zhang, Guangshuai Xia, Yuwei Zheng, Yanjun Zhang, Guangdong Bai, Zhi Liu, Sin G. Teo, Jin Song Dong |
| 2023 | PAKDD | Enhancing Federated Learning Robustness Using Data-Agnostic Model Pruning. | Mark Huasong Meng, Sin G. Teo, Guangdong Bai, Kailong Wang, Jin Song Dong |
| 2022 | NSS | Detecting Contradictions from CoAP RFC Based on Knowledge Graph. | Xinguo Feng, Yanjun Zhang, Mark Huasong Meng, Sin G. Teo |