Sin G. Teo

According to our database, Sin G. Teo authored at least 30 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Enhancing Federated Learning Robustness Using Data-Agnostic Model Pruning.

Mark Huasong Meng, Sin G. Teo, Guangdong Bai, Kailong Wang, Jin Song Dong

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

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

Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

Supervised Robustness-preserving Data-free Neural Network Pruning.

Mark Huasong Meng, Guangdong Bai, Sin G. Teo, Jin Song Dong

Proceedings of the 27th International Conference on Engineering of Complex Computer Systems, 2023

PROTEUS: Domain Adaptation for Dynamic Features in AI-assisted Windows Malware Detection.

Yubo Hou, Tram Truong-Huu, Zhenghua Chen, Chee-Keong Kwoh, Sin G. Teo

Proceedings of the IEEE International Conference on Data Mining, 2023

A Novel Feature Vector for AI-Assisted Windows Malware Detection.

Le Qi Yau, Yik Ting Lam, Ashwin Lokesh, Prannaya Gupta, Justin Lim, Ishneet Sukhvinder Singh, Jia Yi Loo, Mao V. Ngo, Sin G. Teo, Tram Truong-Huu

Proceedings of the IEEE Intl Conf on Dependable, 2023

Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning.

Mao V. Ngo, Tram Truong-Huu, Dima Rabadi, Jia Yi Loo, Sin G. Teo

Proceedings of the Applied Cryptography and Network Security, 2023

2022

Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective.

Mark Huasong Meng, Guangdong Bai, Sin Gee Teo, Zhe Hou, Yan Xiao, Yun Lin, Jin Song Dong

CoRR, 2022

Paoding: Supervised Robustness-preserving Data-free Neural Network Pruning.

Mark Huasong Meng, Guangdong Bai, Sin Gee Teo, Jin Song Dong

CoRR, 2022

LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data.

Lianlian Jiang, Yuexuan Wang, Wenyi Zheng, Chao Jin, Zengxiang Li, Sin G. Teo

CoRR, 2022

Detecting Contradictions from CoAP RFC Based on Knowledge Graph.

Xinguo Feng, Yanjun Zhang, Mark Huasong Meng, Sin G. Teo

Proceedings of the Network and System Security - 16th International Conference, 2022

Cascaded Multi-Class Network Intrusion Detection With Decision Tree and Self-attentive Model.

Yuchen Lan, Tram Truong-Huu, Jiyan Wu, Sin G. Teo

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

PPTPF: Privacy-Preserving Trajectory Publication Framework for CDR Mobile Trajectories.

Jianxi Yang, Manoranjan Dash, Sin G. Teo

ISPRS Int. J. Geo Inf., 2021

ENAD: An Ensemble Framework for Unsupervised Network Anomaly Detection.

Jingyi Liao, Sin G. Teo, Partha Pratim Kundu, Tram Truong-Huu

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2021

A Blockchain-Enabled Quantitative Approach to Trust and Reputation Management with Sparse Evidence.

Leonid Zeynalvand, Tie Luo, Ewa Andrejczuk, Dusit Niyato, Sin G. Teo, Jie Zhang

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

DAG: A General Model for Privacy-Preserving Data Mining.

Sin G. Teo, Jianneng Cao, Vincent C. S. Lee

IEEE Trans. Knowl. Data Eng., 2020

Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks.

Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Keqin Li, Zeng Zeng

ACM Trans. Knowl. Discov. Data, 2020

DAG: A General Model for Privacy-Preserving Data Mining : (Extended Abstract).

Sin G. Teo, Jianneng Cao, Vincent C. S. Lee

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Advanced Windows Methods on Malware Detection and Classification.

Dima Rabadi, Sin G. Teo

Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020

2019

ResHNet: Spectrograms Based Efficient Heart Sounds Classification Using Stacked Residual Networks.

Akshaya Balamurugan, Sin G. Teo, Jianxi Yang, Zhongbo Peng, Xulei Yang, Zeng Zeng

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

Gated Residual Recurrent Graph Neural Networks for Traffic Prediction.

Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Privacy-preserving survey by crowdsourcing with smartphones.

Sin G. Teo, Narayanan Amudha, Jianneng Cao

Proceedings of the 4th IEEE World Forum on Internet of Things, 2018

Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions.

Xulei Yang, Zeng Zeng, Sin G. Teo, Li Wang, Vijay Chandrasekhar, Steven C. H. Hoi

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction.

Cen Chen, Kenli Li, Sin G. Teo, Guizi Chen, Xiaofeng Zou, Xulei Yang, Ramaseshan C. Vijay, Jiashi Feng, Zeng Zeng

Proceedings of the IEEE International Conference on Data Mining, 2018

CardioXNet: Automated Detection for Cardiomegaly Based on Deep Learning.

Qiwen Que, Ze Tang, Ruoshi Wang, Zeng Zeng, Jie Wang, Matthew Chua, Sin Gee Teo, Xulei Yang, Bharadwaj Veeravalli

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Automated Classification Using End-to-End Deep Learning.

Shobhit Sandeep Jaipurkar, Jie Wang, Zeng Zeng, Sin Gee Teo, Bharadwaj Veeravalli, Matthew Chua

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Cloud-of-clouds based resource provisioning strategy for continuous write applications.

Zeng Zeng, Bharadwaj Veeravalli, Samee U. Khan, Sin G. Teo

Proceedings of the 23rd Asia-Pacific Conference on Communications, 2017

Privacy and Utility Preservation for Location Data Using Stay Region Analysis.

Manoranjan Dash, Sin G. Teo

Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2015

DAG: A Model for Privacy Preserving Computation.

Sin G. Teo, Jianneng Cao, Vincent C. S. Lee

Proceedings of the 2015 IEEE International Conference on Web Services, 2015

2013

Privacy Preserving Support Vector Machine Using Non-linear Kernels on Hadoop Mahout.

Sin G. Teo, Shuguo Han, Vincent C. S. Lee

Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

2012

A Study of Efficiency and Accuracy of Secure Multiparty Protocol in Privacy-Preserving Data Mining.

Sin G. Teo, Vincent C. S. Lee, Shuguo Han

Proceedings of the 26th International Conference on Advanced Information Networking and Applications Workshops, 2012