Mark Huasong Meng
Mark Huasong Meng
Research Scientist, Institute for Infocomm Research, A*STAR
Verified email at - Homepage
Cited by
Cited by
BIFF: A blockchain-based IoT forensics framework with identity privacy
DP Le, H Meng, L Su, SL Yeo, V Thing
TENCON 2018-2018 IEEE region 10 conference, 2372-2377, 2018
A Survey of Android Exploits in the Wild
H Meng, VLL Thing, Y Cheng, Z Dai, L Zhang
Computers & Security 76, 71-91, 2018
A blockchain aided metric for predictive delivery performance in supply chain management
MH Meng, Y Qian
2018 IEEE International Conference on Service Operations and Logistics, and …, 2018
Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective
MH Meng, G Bai, SG Teo, Z Hou, Y Xiao, Y Lin, JS Dong
IEEE Transactions on Dependable and Secure Computing, 2022
The Blockchain Application in Supply Chain Management: Opportunities, Challenges and Outlook
MH Meng, Y Qian
The 3rd Symposium on Distributed Ledger Technology (SDLT), 2018
Post-GDPR Threat Hunting on Android Phones: Dissecting OS-level Safeguards of User-unresettable Identifiers.
MH Meng, Q Zhang, G Xia, Y Zheng, Y Zhang, G Bai, Z Liu, SG Teo, ...
NDSS, 2023
Progressive control flow obfuscation for android applications
L Zhang, H Meng, VLL Thing
TENCON 2018-2018 IEEE Region 10 Conference, 1075-1079, 2018
Supervised Robustness-preserving Data-free Neural Network Pruning
MH Meng, G Bai, SG Teo, JS Dong
The International Conference on Engineering of Complex Computer Systems (ICECCS), 2023
On the Quality of Privacy Policy Documents of Virtual Personal Assistant Applications
C Yan, F Xie, MH Meng, Y Zhang, G Bai
Proceedings on Privacy Enhancing Technologies, 2024
Detecting contradictions from IoT protocol specification documents based on neural generated knowledge graph
X Feng, Y Zhang, MH Meng, Y Li, CE Joe, Z Wang, G Bai
ISA transactions 141, 10-19, 2023
Detecting contradictions from coap rfc based on knowledge graph
X Feng, Y Zhang, MH Meng, SG Teo
International Conference on Network and System Security, 170-189, 2022
Privacy-preserving and fairness-aware federated learning for critical infrastructure protection and resilience
Y Zhang, R Sun, L Shen, G Bai, M Xue, MH Meng, X Li, R Ko, S Nepal
Proceedings of the ACM on Web Conference 2024, 2986-2997, 2024
Enhancing Federated Learning Robustness Using Data-Agnostic Model Pruning
MH Meng, SG Teo, G Bai, K Wang, JS Dong
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 441-453, 2023
Securing Intelligent Transportation System: A Blockchain-Based Approach with Attack Mitigation
L Su, Y Cheng, H Meng, V Thing, Z Wang, L Kong, L Cheng
Smart Blockchain: Second International Conference, SmartBlock 2019 …, 2019
Analyzing Use of High Privileges on Android: An Empirical Case Study of Screenshot and Screen Recording Applications
MH Meng, G Bai, JK Liu, X Luo, Y Wang
International Conference on Information Security and Cryptology (Inscrypt …, 2018
PAODING: A High-fidelity Data-free Pruning Toolkit for Debloating Pre-trained Neural Networks
MH Meng, H Guan, L Wan, SG Teo, G Bai, JS Dong
arXiv preprint arXiv:2405.00074, 2024
Are Your Requests Your True Needs? Checking Excessive Data Collection in VPA App
F Xie, C Yan, MH Meng, S Teng, Y Zhang, G Bai
Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024
Formalizing Robustness Against Character-Level Perturbations for Neural Network Language Models
Z Ma, X Feng, Z Wang, S Liu, M Ma, H Guan, MH Meng
International Conference on Formal Engineering Methods, 100-117, 2023
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