Sin G. Teo

Orcid: 0000-0003-1090-505X

According to our database1, Sin G. Teo authored at least 33 papers between 2012 and 2024.

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Bibliography

2024
A Large-Scale Privacy Assessment of Android Third-Party SDKs.
CoRR, 2024

Synthetic Data Aided Federated Learning Using Foundation Models.
CoRR, 2024

PAODING: A High-fidelity Data-free Pruning Toolkit for Debloating Pre-trained Neural Networks.
CoRR, 2024

2023
Enhancing Federated Learning Robustness Using Data-Agnostic Model Pruning.
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.
Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

Supervised Robustness-preserving Data-free Neural Network Pruning.
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.
Proceedings of the IEEE International Conference on Data Mining, 2023

A Novel Feature Vector for AI-Assisted Windows Malware Detection.
Proceedings of the IEEE Intl Conf on Dependable, 2023

Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning.
Proceedings of the Applied Cryptography and Network Security, 2023

2022
Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective.
CoRR, 2022

Paoding: Supervised Robustness-preserving Data-free Neural Network Pruning.
CoRR, 2022

LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data.
CoRR, 2022

Detecting Contradictions from CoAP RFC Based on Knowledge Graph.
Proceedings of the Network and System Security - 16th International Conference, 2022

Cascaded Multi-Class Network Intrusion Detection With Decision Tree and Self-attentive Model.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021
PPTPF: Privacy-Preserving Trajectory Publication Framework for CDR Mobile Trajectories.
ISPRS Int. J. Geo Inf., 2021

ENAD: An Ensemble Framework for Unsupervised Network Anomaly Detection.
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.
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.
IEEE Trans. Knowl. Data Eng., 2020

Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks.
ACM Trans. Knowl. Discov. Data, 2020

DAG: A General Model for Privacy-Preserving Data Mining : (Extended Abstract).
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Advanced Windows Methods on Malware Detection and Classification.
Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020

2019
ResHNet: Spectrograms Based Efficient Heart Sounds Classification Using Stacked Residual Networks.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

Gated Residual Recurrent Graph Neural Networks for Traffic Prediction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Privacy-preserving survey by crowdsourcing with smartphones.
Proceedings of the 4th IEEE World Forum on Internet of Things, 2018

Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions.
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.
Proceedings of the IEEE International Conference on Data Mining, 2018

CardioXNet: Automated Detection for Cardiomegaly Based on Deep Learning.
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.
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.
Proceedings of the 23rd Asia-Pacific Conference on Communications, 2017

Privacy and Utility Preservation for Location Data Using Stay Region Analysis.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2015
DAG: A Model for Privacy Preserving Computation.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015

2013
Privacy Preserving Support Vector Machine Using Non-linear Kernels on Hadoop Mahout.
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.
Proceedings of the 26th International Conference on Advanced Information Networking and Applications Workshops, 2012


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