Chuan Yan, Fuman Xie, Mark Huasong Meng, Yanjun Zhang, and Guangdong Bai
On the Quality of Privacy Policy Documents of Virtual Personal Assistant Applications
The 24th Privacy Enhancing Technologies Symposium (PETS), 2024.
Liuhuo Wan, Chuan Yan, Mark Huasong Meng, Kailong Wang and Haoyu Wang
Analyzing Excessive Permission Requests in Google Workspace Add-ons
The 28th International Conference on Engineering of Complex Computer Systems (ICECCS 2024).
Yanjun Zhang, Ruoxi Sun, Liyue Shen, Guangdong Bai, Jason Xue, Mark Huasong Meng, Xue Li, Ryan Ko, and Surya Nepal
Privacy-Preserving and Fairness-Aware Federated Learning for Critical Infrastructure Protection and Resilience
Fuman Xie, Chuan Yan, Mark Huasong Meng, Shaoming Teng, Yanjun Zhang, and Guangdong Bai
Are Your Requests Your True Needs? Checking Excessive Data Collection in VPA Apps
The 46th International Conference on Software Engineering (ICSE), 2024.
Chuan Yan, Mark Huasong Meng, Fuman Xie, and Guangdong Bai
Investigating Documented Privacy Changes in Android OS
The ACM International Conference on the Foundations of Software Engineering (FSE), 2024.
Mark Huasong Meng, Hao Guan, Liuhuo Wan, Sin Gee Teo, Guangdong Bai and Jin Song Dong
Paoding: A High-fidelity Data-free Pruning Toolkit for Debloating Pre-trained Neural Networks
2024 IEEE Conference on Artificial Intelligence (IEEE CAI), Short Paper.
Zhongkui Ma, Xinguo Feng, Zihan Wang, Shuofeng Liu, Mengyao Ma, Hao Guan, and Mark Huasong Meng
Formalizing Robustness against Character-level Perturbations for Neural Network Language Models
The 24th International Conference on Formal Engineering Methods (ICFEM), 2023.
Xinguo Feng, Yanjun Zhang, Mark Huasong Meng, Yansong Li, Chegne Eu Joe, Zhe Wang and Guangdong Bai
Detecting contradictions from IoT protocol specification documents based on neural generated knowledge graph
Mark Huasong Meng, Guangdong Bai, Sin Gee Teo and Jin Song Dong
Supervised Robustness-preserving Data-free Neural Network Pruning
The 27th International Conference on Engineering of Complex Computer Systems (ICECCS 2023).
Mark Huasong Meng, Sin Gee Teo, Guangdong Bai, Kailong Wang, and Jin Song Dong
Enhancing Federated Learning Robustness using Data-Agnostic Model Pruning
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2023.
Mark Huasong Meng, Qing Zhang, Guangshuai Xia, Yuwei Zheng, Yanjun Zhang, Guangdong Bai, Zhi Liu, Sin Gee Teo, and Jin Song Dong
Post-GDPR Threat Hunting on Android Phones: Dissecting OS-level Safeguards of User-unresettable Identifiers
The Network and Distributed System Security Symposium (NDSS), 2023.
Xinguo Feng, Yanjun Zhang, Mark Huasong Meng and Sin G. Teo
Detecting Contradictions from CoAP RFC Based on Knowledge Graph
International Conference on Network and System Security (NSS), 2022
Mark Huasong Meng, Guangdong Bai, Sin Gee Teo, Zhe Hou, Yan Xiao, Yun Lin, and Jin Song Dong
Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective
Le Su, Yao Cheng, Huasong Meng, Vrizlynn Thing, Zhe Wang, Linghe Kong, and Long Cheng
Securing Intelligent Transportation System: a Blockchain-based Approach with Attack Mitigation
The 2nd International conference on Smart Block (SmartBlock), 2019.
Mark Huasong Meng, Guangdong Bai, Joseph K. Liu, Xiapu Luo and Yu Wang
Analyzing Use of High Privileges on Android: An Empirical Case Study of Screenshot and Screen Recording Applications
The 14th International Conference on Information Security and Cryptology (Inscrypt), 2018.
Li Zhang, Huasong Meng and Vrizlynn L. L. Thing
Progressive Control Flow Obfuscation for Android Applications
Duc Phong Le, Huasong Meng, Le Su, Sze Ling Yeo and Vrizlynn L. L. Thing
BIFF: A Blockchain-based IoT Forensics Framework with Identity Privacy
Mark Huasong Meng and Yaou Qian
A Blockchain Aided Metric for Predictive Delivery Performance in Supply Chain Management
IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), 2018.
Huasong Meng, Vrizlynn L. L. Thing, Yao Cheng, Zhongmin Dai and Li Zhang
A Survey of Android Exploits in the Wild