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2020 – today
- 2025
[j24]Nursultan Makhanov, Nhan Duc Ho, Kok-Seng Wong, Nguyen Anh Tu:
Towards good practice for convolution and attention with PANs in federated medical image classification. J. Supercomput. 81(1): 26 (2025)- 2024
- [j23]Thuy Dung Nguyen
, Tuan Nguyen, Phi Le Nguyen, Hieu H. Pham, Khoa D. Doan, Kok-Seng Wong:
Backdoor attacks and defenses in federated learning: Survey, challenges and future research directions. Eng. Appl. Artif. Intell. 127(Part A): 107166 (2024) - [j22]Quan Nguyen, Hieu H. Pham, Kok-Seng Wong, Phi Le Nguyen, Truong Thao Nguyen, Minh N. Do:
FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource-Constrained Devices Using Divide and Collaborative Training. IEEE Trans. Netw. Serv. Manag. 21(1): 418-436 (2024) - [c23]Duy C. Hoang, Nguyen Hung-Quang, Saurav Manchanda, Minlong Peng, Kok-Seng Wong, Khoa D. Doan:
Fooling the Textual Fooler via Randomizing Latent Representations. ACL (Findings) 2024: 14403-14421 - [c22]Khiem Le, Long Ho, Cuong Do, Danh Le Phuoc, Kok-Seng Wong:
Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization. CVPR 2024: 6027-6036 - [c21]Toan D. Gian, Tien Dac Lai, Thien Van Luong, Kok-Seng Wong, Van-Dinh Nguyen:
HPE-Li: WiFi-Enabled Lightweight Dual Selective Kernel Convolution for Human Pose Estimation. ECCV (31) 2024: 93-111 - [c20]Nguyen Hung-Quang, Yingjie Lao, Tung Pham, Kok-Seng Wong, Khoa D. Doan:
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks. ICLR 2024 - [c19]Nguyen Anh Tu, Assanali Abu, Nartay Aikyn, Nursultan Makhanov, Min-Ho Lee, Khiem Le-Huy, Kok-Seng Wong:
FedFSLAR: A Federated Learning Framework for Few-shot Action Recognition. WACV (Workshops) 2024: 270-279 - [c18]Ngoc-Hieu Nguyen, Tuan-Anh Nguyen, Tuan Nguyen, Vu Tien Hoang, Dung D. Le, Kok-Seng Wong:
Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training. WWW 2024: 3940-3951 - [i16]Ngoc-Hieu Nguyen, Tuan-Anh Nguyen, Tuan Nguyen, Vu Tien Hoang, Dung D. Le, Kok-Seng Wong:
Towards Efficient Communication Federated Recommendation System via Low-rank Training. CoRR abs/2401.03748 (2024) - [i15]Khiem Le-Huy, Long Ho, Cuong Do, Danh Le Phuoc, Kok-Seng Wong:
Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization. CoRR abs/2403.15605 (2024) - [i14]Khiem Le, Nhan Luong-Ha, Manh Nguyen-Duc, Danh Le Phuoc, Cuong Do, Kok-Seng Wong:
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective. CoRR abs/2405.20431 (2024) - [i13]Son Nguyen, Thinh Nguyen, Khoa D. Doan, Kok-Seng Wong:
Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning. CoRR abs/2407.03144 (2024) - [i12]Tuan Nguyen, Dung Thuy Nguyen, Khoa D. Doan, Kok-Seng Wong:
Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat Landscape. CoRR abs/2407.07917 (2024) - [i11]Quang H. Nguyen, Nguyen Ngoc-Hieu, The-Anh Ta, Thanh Nguyen-Tang, Kok-Seng Wong, Hoang Thanh-Tung, Khoa D. Doan:
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks. CoRR abs/2407.10825 (2024) - [i10]Thinh Nguyen, Khoa D. Doan, Binh T. Nguyen, Danh Le Phuoc, Kok-Seng Wong:
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator. CoRR abs/2407.11078 (2024) - [i9]Thinh Dao, Cuong Chi Le, Khoa D. Doan, Kok-Seng Wong:
Towards Clean-Label Backdoor Attacks in the Physical World. CoRR abs/2407.19203 (2024) - 2023
- [c17]Thai-Hung Nguyen, Hong-Phuc Vu, Thuy Dung Nguyen, Tuan Minh Nguyen, Khoa D. Doan, Kok-Seng Wong:
Empirical Study of Federated Unlearning: Efficiency and Effectiveness. ACML 2023: 959-974 - [c16]Thuy Dung Nguyen, Anh Duy Nguyen, Thanh-Hung Nguyen, Kok-Seng Wong, Huy Hieu Pham, Truong Thao Nguyen, Phi Le Nguyen:
FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection. IJCNN 2023: 1-10 - [c15]Thuy Dung Nguyen, Tuan Nguyen, Anh Tran, Khoa D. Doan, Kok-Seng Wong:
IBA: Towards Irreversible Backdoor Attacks in Federated Learning. NeurIPS 2023 - [i8]Van Tuan Tran, Huy Hieu Pham, Kok-Seng Wong:
Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning. CoRR abs/2302.12020 (2023) - [i7]Thuy Dung Nguyen, Tuan Nguyen, Phi Le Nguyen, Hieu H. Pham, Khoa D. Doan, Kok-Seng Wong:
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions. CoRR abs/2303.02213 (2023) - [i6]Thuy Dung Nguyen, Anh Duy Nguyen, Kok-Seng Wong, Huy Hieu Pham, Thanh Hung Nguyen, Phi Le Nguyen, Truong Thao Nguyen:
FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection. CoRR abs/2305.00328 (2023) - [i5]Kok-Seng Wong, Manh Nguyen-Duc, Khiem Le-Huy, Long Ho-Tuan, Cuong Do-Danh, Danh Le Phuoc:
An Empirical Study of Federated Learning on IoT-Edge Devices: Resource Allocation and Heterogeneity. CoRR abs/2305.19831 (2023) - [i4]Quang H. Nguyen, Yingjie Lao, Tung Pham, Kok-Seng Wong, Khoa D. Doan:
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks. CoRR abs/2310.00567 (2023) - [i3]Duy C. Hoang, Quang H. Nguyen, Saurav Manchanda, Minlong Peng, Kok-Seng Wong, Khoa D. Doan:
Fooling the Textual Fooler via Randomizing Latent Representations. CoRR abs/2310.01452 (2023) - [i2]Sze Jue Yang, Chinh D. La, Quang H. Nguyen, Eugene Bagdasaryan, Kok-Seng Wong, Anh Tuan Tran, Chee Seng Chan, Khoa D. Doan:
Synthesizing Physical Backdoor Datasets: An Automated Framework Leveraging Deep Generative Models. CoRR abs/2312.03419 (2023) - 2022
- [j21]Tu Viet Nguyen, Nhan Duc Ho, Hieu Thien Hoang, Cuong Do-Danh, Kok-Seng Wong:
Toward Efficient Hierarchical Federated Learning Design Over Multi-Hop Wireless Communications Networks. IEEE Access 10: 111910-111922 (2022) - [j20]Yee Jian Chew, Nicholas Lee, Shih Yin Ooi, Kok-Seng Wong, Ying-Han Pang:
Benchmarking full version of GureKDDCup, UNSW-NB15, and CIDDS-001 NIDS datasets using rolling-origin resampling. Inf. Secur. J. A Glob. Perspect. 31(5): 544-565 (2022) - [c14]Nursultan Makhanov, Nguyen Anh Tu, Kok-Seng Wong:
A Survey on Deep Learning Advances and Emerging Issues in Pneumonia and COVID19 Prediction. BigComp 2022: 96-103 - [c13]Thai-Hung Nguyen, Truong Giang Vu, Huong-Lan Tran, Kok-Seng Wong:
Emerging Privacy and Trust Issues for Autonomous Vehicle Systems. ICOIN 2022: 52-57 - [c12]Rakhat Abdrakhmanov, Dmitriy Viderman, Kok-Seng Wong, Minho Lee:
Few-Shot Learning based on Residual Neural Networks for X-ray Image Classification. SMC 2022: 1817-1821 - [i1]Quan Nguyen, Hieu H. Pham, Kok-Seng Wong, Phi Le Nguyen, Truong Thao Nguyen, Minh N. Do:
FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Co-Training. CoRR abs/2211.10948 (2022) - 2021
- [j19]Thai-Hung Nguyen, Kok-Seng Wong, Thomas Oikonomou:
Efficient Two-Party Integer Comparison With Block Vectorization Mechanism. IEEE Access 9: 123484-123492 (2021) - [j18]Kok-Seng Wong, Yee Jian Chew, Shih Yin Ooi, Ying-Han Pang:
Toward forecasting future day air pollutant index in Malaysia. J. Supercomput. 77(5): 4813-4830 (2021) - [j17]Nguyen Anh Tu, Thien Huynh-The, Kok-Seng Wong, M. Fatih Demirci, Young-Koo Lee:
Toward efficient and intelligent video analytics with visual privacy protection for large-scale surveillance. J. Supercomput. 77(12): 14374-14404 (2021) - 2020
- [c11]Kok-Seng Wong, Nguyen Anh Tu, Anuar Maratkhan, M. Fatih Demirci:
A Privacy-Preserving Framework for Surveillance Systems. ICCNS 2020: 91-98 - [c10]Dinh-Mao Bui, Nguyen Anh Tu, Kok-Seng Wong:
Enhancing the Adaptiveness of Gaussian Process Regression based on Power Spectral Density. IMCOM 2020: 1-6 - [c9]Nguyen Anh Tu, Thien Huynh-The, Kok-Seng Wong, Dinh-Mao Bui, Young-Koo Lee:
Distributed Feature Extraction on Apache Spark for Human Action Recognition. IMCOM 2020: 1-6
2010 – 2019
- 2019
- [j16]Ao Zhou, Shangguang Wang, Ching-Hsien Hsu, Myung Ho Kim, Kok-Seng Wong:
Virtual machine placement with (m, n)-fault tolerance in cloud data center. Clust. Comput. 22(5): 11619-11631 (2019) - [c8]Yee Jian Chew, Shih Yin Ooi, Kok-Seng Wong, Ying-Han Pang:
Privacy Preserving of IP Address through Truncation Method in Network-based Intrusion Detection System. ICSCA 2019: 569-573 - [c7]Kok-Seng Wong, Myung Ho Kim:
A Privacy-Preserving Coalition Loyalty Program. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1283-1288 - 2018
- [j15]Kok-Seng Wong, Myung Ho Kim:
Emerging issues and challenges for cloud data at the edge. Int. J. Web Grid Serv. 14(2): 123-145 (2018) - [j14]Yee Jian Chew, Shih Yin Ooi, Kok-Seng Wong, Ying-Han Pang, Seong Oun Hwang:
Evaluation of black-marker and bilateral classification with J48 decision tree in anomaly based intrusion detection system. J. Intell. Fuzzy Syst. 35(6): 5927-5937 (2018) - [j13]Kok-Seng Wong, Myung Ho Kim:
Toward a fair indictment for sealed-bid auction with self-enforcing privacy. J. Supercomput. 74(8): 3801-3819 (2018) - [j12]Shangguang Wang, Wu Chou, Kok-Seng Wong, Ao Zhou, Victor C. M. Leung:
Service Migration in Mobile Edge Computing. Wirel. Commun. Mob. Comput. 2018: 3823721:1-3823721:2 (2018) - 2017
- [j11]Ao Zhou, Shangguang Wang, Ching-Hsien Hsu, Myung Ho Kim, Kok-Seng Wong:
Network failure-aware redundant virtual machine placement in a cloud data center. Concurr. Comput. Pract. Exp. 29(24) (2017) - [j10]Kok-Seng Wong, Myung Ho Kim:
Secure rank correlation computation for IoT applications. Int. J. Serv. Technol. Manag. 23(1/2): 40-51 (2017) - [j9]Yan Guo, Shangguang Wang, Kok-Seng Wong, Myung Ho Kim:
Skyline service selection approach based on QoS prediction. Int. J. Web Grid Serv. 13(4): 425-447 (2017) - [j8]Kok-Seng Wong, Myung Ho Kim:
Privacy Protection for Data-Driven Smart Manufacturing Systems. Int. J. Web Serv. Res. 14(3): 17-32 (2017) - 2016
- [j7]Kok-Seng Wong, Myung Ho Kim:
An enhanced user authentication solution for mobile payment systems using wearables. Secur. Commun. Networks 9(17): 4639-4649 (2016) - 2015
- [j6]Kok-Seng Wong, Myung Ho Kim:
Towards a respondent-preferred k i -anonymity model. Frontiers Inf. Technol. Electron. Eng. 16(9): 720-731 (2015) - [c6]Kok-Seng Wong, Minji Seo, Myung Ho Kim:
Secure Two-Party Rank Correlation Computations for Recommender Systems. TrustCom/BigDataSE/ISPA (1) 2015: 1022-1028 - 2014
- [j5]Kok-Seng Wong, Myung Ho Kim:
Towards Self-Awareness Privacy Protection for Internet of Things Data Collection. J. Appl. Math. 2014: 827959:1-827959:9 (2014) - [j4]Kok-Seng Wong, Myung Ho Kim:
On private Hamming distance computation. J. Supercomput. 69(3): 1123-1138 (2014) - [c5]Kok-Seng Wong, Myung Ho Kim:
Privacy-Preserving Data Collection with Self-Awareness Protection. FCC 2014: 365-371 - 2013
- [j3]Kok-Seng Wong, Myung Ho Kim:
Privacy-preserving similarity coefficients for binary data. Comput. Math. Appl. 65(9): 1280-1290 (2013) - [c4]Kok-Seng Wong, Myung Ho Kim:
Secure Re-publication of Dynamic Big Data. CSS 2013: 468-477 - 2012
- [j2]Kok-Seng Wong, Myung Ho Kim:
Privacy-preserving frequent itemsets mining via secure collaborative framework. Secur. Commun. Networks 5(3): 263-272 (2012) - [c3]Kok-Seng Wong, Myung Ho Kim:
Secure Biometric-Based Authentication for Cloud Computing. CLOSER (Selected Papers) 2012: 86-101 - [c2]Kok-Seng Wong, Myung Ho Kim:
Towards Biometric-based Authentication for Cloud Computing. CLOSER 2012: 501-510 - [c1]Kok-Seng Wong, Myung Ho Kim:
A Privacy-Preserving Biometric Matching Protocol for Iris Codes Verification. MUSIC 2012: 120-125 - 2010
- [j1]Kok-Seng Wong, Myung Ho Kim:
Semi-trusted Collaborative Framework for Multi-party Computation. KSII Trans. Internet Inf. Syst. 4(3): 411-427 (2010)
Coauthor Index
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