Kar-Wai Fok

19 papers A* 1Misc 2Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
CoSPED: Consistent Soft Prompt Targeted Data Extraction and Defense.
AAAI
Zhuochen Yang, Kar-Wai Fok, Vrizlynn L. L. Thing
2025 J jnl
DefenSee: Dissecting Threat from Sight and Text - A Multi-View Defensive Pipeline for Multi-modal Jailbreaks.
CoRR
Zihao Wang, Kar-Wai Fok, Vrizlynn L. L. Thing
2025 J jnl
Enhanced Consistency Bi-directional GAN(CBiGAN) for Malware Anomaly Detection.
CoRR
Thesath Wijayasiri, Kar-Wai Fok, Vrizlynn L. L. Thing
2025 J jnl
Enhanced MLLM Black-Box Jailbreaking Attacks and Defenses.
CoRR
Xingwei Zhong, Kar-Wai Fok, Vrizlynn L. L. Thing
2025 J jnl
ExpIDS: A Drift-adaptable Network Intrusion Detection System With Improved Explainability.
CoRR
Ayush Kumar, Kar-Wai Fok, Vrizlynn L. L. Thing
2025 J jnl
Network Attack Traffic Detection With Hybrid Quantum-Enhanced Convolution Neural Network.
CoRR
Zihao Wang, Kar-Wai Fok, Vrizlynn L. L. Thing
2025 J jnl
Network attack traffic detection with hybrid quantum-enhanced convolution neural network.
Quantum Mach. Intell.
Zihao Wang, Kar-Wai Fok, Vrizlynn L. L. Thing
2024 Misc conf
Emerging Trends in 5G Malicious Traffic Analysis: Enhancing Incremental Learning Intrusion Detection Strategies.
CSR
Zihao Wang, Kar-Wai Fok, Vrizlynn L. L. Thing
2024 J jnl
Enhancing Network Intrusion Detection Performance using Generative Adversarial Networks.
CoRR
Xinxing Zhao, Kar-Wai Fok, Vrizlynn L. L. Thing
2024 J jnl
Enhancing network intrusion detection performance using generative adversarial networks.
Comput. Secur.
Xinxing Zhao, Kar-Wai Fok, Vrizlynn L. L. Thing
2024 Misc conf
ExpIDS: A Drift-Adaptable Network Intrusion Detection System with Improved Explainability.
ITNAC
Ayush Kumar, Kar-Wai Fok, Vrizlynn L. L. Thing
2024 J jnl
Exploring Emerging Trends in 5G Malicious Traffic Analysis and Incremental Learning Intrusion Detection Strategies.
CoRR
Zihao Wang, Kar-Wai Fok, Vrizlynn L. L. Thing
2024 — conf
Privacy preserving layer partitioning for Deep Neural Network models.
CAI
Kishore Rajasekar, Randolph Loh, Kar-Wai Fok, Vrizlynn L. L. Thing
2024 J jnl
Privacy preserving layer partitioning for Deep Neural Network models.
CoRR
Kishore Rajasekar, Randolph Loh, Kar-Wai Fok, Vrizlynn L. L. Thing
2022 — conf
A Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection.
BigDataSecurity/HPSC/IDS
Rahul Kale, Zhi Lu, Kar-Wai Fok, Vrizlynn L. L. Thing
2022 J jnl
A Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection.
CoRR
Rahul Kale, Zhi Lu, Kar-Wai Fok, Vrizlynn L. L. Thing
2022 J jnl
Clustering based opcode graph generation for malware variant detection.
CoRR
Kar-Wai Fok, Vrizlynn L. L. Thing
2022 J jnl
Intrusion Detection in Internet of Things using Convolutional Neural Networks.
CoRR
Martin Kodys, Zhi Lu, Kar-Wai Fok, Vrizlynn L. L. Thing
2022 J jnl
Machine Learning for Encrypted Malicious Traffic Detection: Approaches, Datasets and Comparative Study.
CoRR
Zihao Wang, Kar-Wai Fok, Vrizlynn L. L. Thing