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2020 – today
- 2024
[i7]Mark Huasong Meng, Hao Guan, Liuhuo Wan, Sin Gee Teo, Guangdong Bai, Jin Song Dong:
PAODING: A High-fidelity Data-free Pruning Toolkit for Debloating Pre-trained Neural Networks. CoRR abs/2405.00074 (2024)- [i6]Fatima Abacha, Sin G. Teo, Lucas C. Cordeiro, Mustafa A. Mustafa:
Synthetic Data Aided Federated Learning Using Foundation Models. CoRR abs/2407.05174 (2024) - [i5]Mark Huasong Meng, Chuan Yan, Yun Hao, Qing Zhang, Zeyu Wang, Kailong Wang, Sin Gee Teo, Guangdong Bai, Jin Song Dong:
A Large-Scale Privacy Assessment of Android Third-Party SDKs. CoRR abs/2409.10411 (2024) - 2023
- [c24]Mao V. Ngo, Tram Truong-Huu, Dima Rabadi, Jia Yi Loo, Sin G. Teo:
Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning. ACNS (1) 2023: 503-531 - [c23]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:
A Novel Feature Vector for AI-Assisted Windows Malware Detection. DASC/PiCom/CBDCom/CyberSciTech 2023: 355-361 - [c22]Yubo Hou, Tram Truong-Huu, Zhenghua Chen, Chee-Keong Kwoh, Sin G. Teo:
PROTEUS: Domain Adaptation for Dynamic Features in AI-assisted Windows Malware Detection. ICDM (Workshops) 2023: 1322-1331 - [c21]Mark Huasong Meng, Guangdong Bai, Sin G. Teo, Jin Song Dong:
Supervised Robustness-preserving Data-free Neural Network Pruning. ICECCS 2023: 22-31 - [c20]Mark Huasong Meng, Qing Zhang, Guangshuai Xia, Yuwei Zheng, Yanjun Zhang, Guangdong Bai, Zhi Liu, Sin G. Teo, Jin Song Dong:
Post-GDPR Threat Hunting on Android Phones: Dissecting OS-level Safeguards of User-unresettable Identifiers. NDSS 2023 - [c19]Mark Huasong Meng, Sin G. Teo, Guangdong Bai, Kailong Wang, Jin Song Dong:
Enhancing Federated Learning Robustness Using Data-Agnostic Model Pruning. PAKDD (2) 2023: 441-453 - 2022
- [c18]Yuchen Lan, Tram Truong-Huu, Jiyan Wu, Sin G. Teo:
Cascaded Multi-Class Network Intrusion Detection With Decision Tree and Self-attentive Model. ICDM (Workshops) 2022: 1-7 - [c17]Xinguo Feng, Yanjun Zhang, Mark Huasong Meng, Sin G. Teo:
Detecting Contradictions from CoAP RFC Based on Knowledge Graph. NSS 2022: 170-189 - [i4]Lianlian Jiang, Yuexuan Wang, Wenyi Zheng, Chao Jin, Zengxiang Li, Sin G. Teo:
LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data. CoRR abs/2203.04305 (2022) - [i3]Mark Huasong Meng, Guangdong Bai, Sin Gee Teo, Jin Song Dong:
Paoding: Supervised Robustness-preserving Data-free Neural Network Pruning. CoRR abs/2204.00783 (2022) - [i2]Mark Huasong Meng, Guangdong Bai, Sin Gee Teo, Zhe Hou, Yan Xiao, Yun Lin, Jin Song Dong:
Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective. CoRR abs/2206.12227 (2022) - [i1]Mao V. Ngo, Tram Truong-Huu, Dima Rabadi, Jia Yi Loo, Sin G. Teo:
Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning. CoRR abs/2211.13860 (2022) - 2021
- [j3]Jianxi Yang, Manoranjan Dash, Sin G. Teo:
PPTPF: Privacy-Preserving Trajectory Publication Framework for CDR Mobile Trajectories. ISPRS Int. J. Geo Inf. 10(4): 224 (2021) - [c16]Leonid Zeynalvand, Tie Luo, Ewa Andrejczuk, Dusit Niyato, Sin G. Teo, Jie Zhang:
A Blockchain-Enabled Quantitative Approach to Trust and Reputation Management with Sparse Evidence. AAMAS 2021: 1707-1708 - [c15]Jingyi Liao, Sin G. Teo, Partha Pratim Kundu, Tram Truong-Huu:
ENAD: An Ensemble Framework for Unsupervised Network Anomaly Detection. CSR 2021: 81-88 - 2020
- [j2]Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Keqin Li, Zeng Zeng:
Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks. ACM Trans. Knowl. Discov. Data 14(4): 42:1-42:23 (2020) - [j1]Sin G. Teo, Jianneng Cao, Vincent C. S. Lee:
DAG: A General Model for Privacy-Preserving Data Mining. IEEE Trans. Knowl. Data Eng. 32(1): 40-53 (2020) - [c14]Dima Rabadi, Sin G. Teo:
Advanced Windows Methods on Malware Detection and Classification. ACSAC 2020: 54-68 - [c13]Sin G. Teo, Jianneng Cao, Vincent C. S. Lee:
DAG: A General Model for Privacy-Preserving Data Mining : (Extended Abstract). ICDE 2020: 2018-2019
2010 – 2019
- 2019
- [c12]Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng:
Gated Residual Recurrent Graph Neural Networks for Traffic Prediction. AAAI 2019: 485-492 - [c11]Akshaya Balamurugan, Sin G. Teo, Jianxi Yang, Zhongbo Peng, Xulei Yang, Zeng Zeng:
ResHNet: Spectrograms Based Efficient Heart Sounds Classification Using Stacked Residual Networks. BHI 2019: 1-4 - 2018
- [c10]Qiwen Que, Ze Tang, Ruoshi Wang, Zeng Zeng, Jie Wang, Matthew Chua, Sin Gee Teo, Xulei Yang, Bharadwaj Veeravalli:
CardioXNet: Automated Detection for Cardiomegaly Based on Deep Learning. EMBC 2018: 612-615 - [c9]Shobhit Sandeep Jaipurkar, Jie Wang, Zeng Zeng, Sin Gee Teo, Bharadwaj Veeravalli, Matthew Chua:
Automated Classification Using End-to-End Deep Learning. EMBC 2018: 706-709 - [c8]Cen Chen, Kenli Li, Sin G. Teo, Guizi Chen, Xiaofeng Zou, Xulei Yang, Ramaseshan C. Vijay, Jiashi Feng, Zeng Zeng:
Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction. ICDM 2018: 893-898 - [c7]Xulei Yang, Zeng Zeng, Sin G. Teo, Li Wang, Vijay Chandrasekhar, Steven C. H. Hoi:
Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions. KDD 2018: 923-931 - [c6]Sin G. Teo, Narayanan Amudha, Jianneng Cao:
Privacy-preserving survey by crowdsourcing with smartphones. WF-IoT 2018: 647-651 - 2017
- [c5]Manoranjan Dash, Sin G. Teo:
Privacy and Utility Preservation for Location Data Using Stay Region Analysis. ADMA 2017: 808-820 - [c4]Zeng Zeng, Bharadwaj Veeravalli, Samee U. Khan, Sin G. Teo:
Cloud-of-clouds based resource provisioning strategy for continuous write applications. APCC 2017: 1-6 - 2015
- [c3]Sin G. Teo, Jianneng Cao, Vincent C. S. Lee:
DAG: A Model for Privacy Preserving Computation. ICWS 2015: 289-296 - 2013
- [c2]Sin G. Teo, Shuguo Han, Vincent C. S. Lee:
Privacy Preserving Support Vector Machine Using Non-linear Kernels on Hadoop Mahout. CSE 2013: 941-948 - 2012
- [c1]Sin G. Teo, Vincent C. S. Lee, Shuguo Han:
A Study of Efficiency and Accuracy of Secure Multiparty Protocol in Privacy-Preserving Data Mining. AINA Workshops 2012: 85-90
Coauthor Index
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last updated on 2024-10-15 00:22 CEST by the dblp team
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