Semi-trusted Collaborative Framework for Multi-party Computation. - Kok-Seng Wong; Myung Ho Kim (KSII Trans. Internet Inf. Syst., 2010)

Towards Biometric-based Authentication for Cloud Computing. - Kok-Seng Wong; Myung Ho Kim (CLOSER, 2012)

Secure Biometric-Based Authentication for Cloud Computing. - Kok-Seng Wong; Myung Ho Kim (CLOSER (Selected Papers), 2012)

A Privacy-Preserving Biometric Matching Protocol for Iris Codes Verification. - Kok-Seng Wong; Myung Ho Kim (MUSIC, 2012)

Privacy-preserving frequent itemsets mining via secure collaborative framework. - Kok-Seng Wong; Myung Ho Kim (Secur. Commun. Networks, 2012)

Secure Re-publication of Dynamic Big Data. - Kok-Seng Wong; Myung Ho Kim (CSS, 2013)

Privacy-preserving similarity coefficients for binary data. - Kok-Seng Wong; Myung Ho Kim (Comput. Math. Appl., 2013)

Privacy-Preserving Data Collection with Self-Awareness Protection. - Kok-Seng Wong; Myung Ho Kim (FCC, 2014)

Towards Self-Awareness Privacy Protection for Internet of Things Data Collection. - Kok-Seng Wong; Myung Ho Kim (J. Appl. Math., 2014)

On private Hamming distance computation. - Kok-Seng Wong; Myung Ho Kim (J. Supercomput., 2014)

Secure Two-Party Rank Correlation Computations for Recommender Systems. - Kok-Seng Wong; Minji Seo; Myung Ho Kim (TrustCom/BigDataSE/ISPA (1), 2015)

Towards a respondent-preferred k i -anonymity model. - Kok-Seng Wong; Myung Ho Kim (Frontiers Inf. Technol. Electron. Eng., 2015)

An enhanced user authentication solution for mobile payment systems using wearables. - Kok-Seng Wong; Myung Ho Kim (Secur. Commun. Networks, 2016)

Network failure-aware redundant virtual machine placement in a cloud data center. - Ao Zhou 001; Shangguang Wang; Ching-Hsien Hsu; Myung Ho Kim; Kok-Seng Wong (Concurr. Comput. Pract. Exp., 2017)

Secure rank correlation computation for IoT applications. - Kok-Seng Wong; Myung Ho Kim (Int. J. Serv. Technol. Manag., 2017)

Skyline service selection approach based on QoS prediction. - Yan Guo 004; Shangguang Wang; Kok-Seng Wong; Myung Ho Kim (Int. J. Web Grid Serv., 2017)

Privacy Protection for Data-Driven Smart Manufacturing Systems. - Kok-Seng Wong; Myung Ho Kim (Int. J. Web Serv. Res., 2017)

Emerging issues and challenges for cloud data at the edge. - Kok-Seng Wong; Myung Ho Kim (Int. J. Web Grid Serv., 2018)

Evaluation of black-marker and bilateral classification with J48 decision tree in anomaly based intrusion detection system. - Yee Jian Chew; Shih Yin Ooi; Kok-Seng Wong; Ying-Han Pang; Seong Oun Hwang (J. Intell. Fuzzy Syst., 2018)

Toward a fair indictment for sealed-bid auction with self-enforcing privacy. - Kok-Seng Wong; Myung Ho Kim (J. Supercomput., 2018)

Service Migration in Mobile Edge Computing. - Shangguang Wang; Wu Chou; Kok-Seng Wong; Ao Zhou 001; Victor C. M. Leung (Wirel. Commun. Mob. Comput., 2018)

Privacy Preserving of IP Address through Truncation Method in Network-based Intrusion Detection System. - Yee Jian Chew; Shih Yin Ooi; Kok-Seng Wong; Ying-Han Pang (ICSCA, 2019)

A Privacy-Preserving Coalition Loyalty Program. - Kok-Seng Wong; Myung Ho Kim (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Virtual machine placement with (m, n)-fault tolerance in cloud data center. - Ao Zhou 001; Shangguang Wang; Ching-Hsien Hsu; Myung Ho Kim; Kok-Seng Wong (Clust. Comput., 2019)

A Privacy-Preserving Framework for Surveillance Systems. - Kok-Seng Wong; Nguyen Anh Tu; Anuar Maratkhan; M. Fatih Demirci (ICCNS, 2020)

Enhancing the Adaptiveness of Gaussian Process Regression based on Power Spectral Density. - Dinh-Mao Bui; Nguyen Anh Tu; Kok-Seng Wong (IMCOM, 2020)

Distributed Feature Extraction on Apache Spark for Human Action Recognition. - Nguyen Anh Tu; Thien Huynh-The; Kok-Seng Wong; Dinh-Mao Bui; Young-Koo Lee (IMCOM, 2020)

Efficient Two-Party Integer Comparison With Block Vectorization Mechanism. - Thai-Hung Nguyen; Kok-Seng Wong; Thomas Oikonomou (IEEE Access, 2021)

Toward efficient and intelligent video analytics with visual privacy protection for large-scale surveillance. - Nguyen Anh Tu; Thien Huynh-The; Kok-Seng Wong; M. Fatih Demirci; Young-Koo Lee (J. Supercomput., 2021)

Toward forecasting future day air pollutant index in Malaysia. - Kok-Seng Wong; Yee Jian Chew; Shih Yin Ooi; Ying-Han Pang (J. Supercomput., 2021)

A Survey on Deep Learning Advances and Emerging Issues in Pneumonia and COVID19 Prediction. - Nursultan Makhanov; Nguyen Anh Tu; Kok-Seng Wong (BigComp, 2022)

Emerging Privacy and Trust Issues for Autonomous Vehicle Systems. - Thai-Hung Nguyen; Truong Giang Vu; Huong-Lan Tran; Kok-Seng Wong (ICOIN, 2022)

Few-Shot Learning based on Residual Neural Networks for X-ray Image Classification. - Rakhat Abdrakhmanov; Dmitriy Viderman; Kok-Seng Wong; Minho Lee (SMC, 2022)

Toward Efficient Hierarchical Federated Learning Design Over Multi-Hop Wireless Communications Networks. - Tu Viet Nguyen; Nhan Duc Ho; Hieu Thien Hoang; Cuong Do-Danh; Kok-Seng Wong (IEEE Access, 2022)

FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Co-Training. - Quan Nguyen; Hieu H. Pham 001; Kok-Seng Wong; Phi Le Nguyen; Truong Thao Nguyen; Minh N. Do (CoRR, 2022)

Benchmarking full version of GureKDDCup, UNSW-NB15, and CIDDS-001 NIDS datasets using rolling-origin resampling. - Yee Jian Chew; Nicholas Lee; Shih Yin Ooi; Kok-Seng Wong; Ying-Han Pang (Inf. Secur. J. A Glob. Perspect., 2022)

Empirical Study of Federated Unlearning: Efficiency and Effectiveness. - Thai-Hung Nguyen; Hong-Phuc Vu; Thuy Dung Nguyen; Tuan Minh Nguyen; Khoa D. Doan; Kok-Seng Wong (ACML, 2023)

FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection. - Thuy Dung Nguyen; Anh Duy Nguyen; Thanh-Hung Nguyen; Kok-Seng Wong; Huy Hieu Pham 001; Truong Thao Nguyen; Phi Le Nguyen (IJCNN, 2023)

IBA: Towards Irreversible Backdoor Attacks in Federated Learning. - Thuy Dung Nguyen; Tuan Nguyen; Anh Tran 001; Khoa D. Doan; Kok-Seng Wong (NeurIPS, 2023)

Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning. - Van Tuan Tran; Huy Hieu Pham 001; Kok-Seng Wong (CoRR, 2023)

An Empirical Study of Federated Learning on IoT-Edge Devices: Resource Allocation and Heterogeneity. - Kok-Seng Wong; Manh Nguyen-Duc; Khiem Le-Huy; Long Ho-Tuan; Cuong Do-Danh; Danh Le Phuoc (CoRR, 2023)

Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks. - Quang H. Nguyen; Yingjie Lao; Tung Pham; Kok-Seng Wong; Khoa D. Doan (CoRR, 2023)

Fooling the Textual Fooler via Randomizing Latent Representations. - Duy C. Hoang; Quang H. Nguyen; Saurav Manchanda; Minlong Peng; Kok-Seng Wong; Khoa D. Doan (CoRR, 2023)

Synthesizing Physical Backdoor Datasets: An Automated Framework Leveraging Deep Generative Models. - Sze Jue Yang; Chinh D. La; Quang H. Nguyen; Eugene Bagdasaryan; Kok-Seng Wong; Anh Tuan Tran 001; Chee Seng Chan; Khoa D. Doan (CoRR, 2023)

Fooling the Textual Fooler via Randomizing Latent Representations. - Duy C. Hoang; Nguyen Hung-Quang; Saurav Manchanda; Minlong Peng; Kok-Seng Wong; Khoa D. Doan (ACL (Findings), 2024)

Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization. - Khiem Le; Long Ho; Cuong Do 001; Danh Le Phuoc; Kok-Seng Wong (CVPR, 2024)

HPE-Li: WiFi-Enabled Lightweight Dual Selective Kernel Convolution for Human Pose Estimation. - Toan D. Gian; Tien Dac Lai; Thien Van Luong; Kok-Seng Wong; Van-Dinh Nguyen (ECCV (31), 2024)

Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks. - Nguyen Hung-Quang; Yingjie Lao; Tung Pham; Kok-Seng Wong; Khoa D. Doan (ICLR, 2024)

FedFSLAR: A Federated Learning Framework for Few-shot Action Recognition. - Nguyen Anh Tu; Assanali Abu; Nartay Aikyn; Nursultan Makhanov; Min-Ho Lee; Khiem Le-Huy; Kok-Seng Wong (WACV (Workshops), 2024)

Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training. - Ngoc-Hieu Nguyen; Tuan-Anh Nguyen; Tuan Nguyen; Vu Tien Hoang; Dung D. Le; Kok-Seng Wong (WWW, 2024)

Benchmarking Federated Few-Shot Learning for Video-Based Action Recognition. - Nguyen Anh Tu; Nartay Aikyn; Nursultan Makhanov; Assanali Abu; Kok-Seng Wong; Min-Ho Lee (IEEE Access, 2024)

Towards Efficient Communication Federated Recommendation System via Low-rank Training. - Ngoc-Hieu Nguyen; Tuan-Anh Nguyen; Tuan Nguyen; Vu Tien Hoang; Dung D. Le; Kok-Seng Wong (CoRR, 2024)

Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective. - Khiem Le; Nhan Luong-Ha; Manh Nguyen-Duc; Danh Le Phuoc; Cuong Do 001; Kok-Seng Wong (CoRR, 2024)

Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning. - Son Nguyen; Thinh Nguyen; Khoa D. Doan; Kok-Seng Wong (CoRR, 2024)

Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat Landscape. - Tuan Nguyen; Dung Thuy Nguyen; Khoa D. Doan; Kok-Seng Wong (CoRR, 2024)

Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks. - Quang H. Nguyen; Nguyen Ngoc-Hieu; The-Anh Ta; Thanh Nguyen-Tang; Kok-Seng Wong; Hoang Thanh-Tung; Khoa D. Doan (CoRR, 2024)

Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator. - Thinh Nguyen; Khoa D. Doan; Binh T. Nguyen 001; Danh Le Phuoc; Kok-Seng Wong (CoRR, 2024)

Towards Clean-Label Backdoor Attacks in the Physical World. - Thinh Dao; Cuong Chi Le; Khoa D. Doan; Kok-Seng Wong (CoRR, 2024)

Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning. - Van-Tuan Tran; Huy Hieu Pham 001; Kok-Seng Wong (IEEE Trans. Emerg. Top. Comput., 2024)

Backdoor attacks and defenses in federated learning: Survey, challenges and future research directions. - Thuy Dung Nguyen; Tuan Nguyen; Phi Le Nguyen; Hieu H. Pham 001; Khoa D. Doan; Kok-Seng Wong (Eng. Appl. Artif. Intell., 2024)

FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource-Constrained Devices Using Divide and Collaborative Training. - Quan Nguyen; Hieu H. Pham 001; Kok-Seng Wong; Phi Le Nguyen; Truong Thao Nguyen; Minh N. Do (IEEE Trans. Netw. Serv. Manag., 2024)

Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks. - Nguyen Hung-Quang; Ngoc-Hieu Nguyen; The-Anh Ta; Thanh Nguyen-Tang; Kok-Seng Wong; Hoang Thanh-Tung; Khoa D. Doan (ICLR, 2025)

Towards good practice for convolution and attention with PANs in federated medical image classification. - Nursultan Makhanov; Nhan Duc Ho; Kok-Seng Wong; Nguyen Anh Tu (J. Supercomput., 2025)

BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning. - Thinh Dao; Dung Thuy Nguyen; Khoa D. Doan; Kok-Seng Wong (CoRR, 2025)