158 citations · 461 across the 37 of their papers we have counts for
7 papers · 1 filter
DefenSee: Dissecting Threat from Sight and Text -- A Multi-View Defensive Pipeline for Multi-modal Jailbreaks
Zihao Wang, Kar Wai Fok, Vrizlynn L. L. Thing
Multi-modal large language models (MLLMs), capable of processing text, images, and audio, have been widely adopted in various AI applications. However, recent MLLMs integrating ima…
Enhanced MLLM Black-Box Jailbreaking Attacks and Defenses
Xingwei Zhong, Kar Wai Fok, Vrizlynn L. L. Thing
Multimodal large language models (MLLMs) comprise of both visual and textual modalities to process vision language tasks. However, MLLMs are vulnerable to security-related issues,…
CoSPED: Consistent Soft Prompt Targeted Data Extraction and Defense
Zhuochen Yang, Kar Wai Fok, Vrizlynn L. L. Thing
Large language models have gained widespread attention recently, but their potential security vulnerabilities, especially privacy leakage, are also becoming apparent. To test and e…
ExpIDS: A Drift-adaptable Network Intrusion Detection System With Improved Explainability
Ayush Kumar, Kar Wai Fok, Vrizlynn L. L. Thing
Despite all the advantages associated with Network Intrusion Detection Systems (NIDSs) that utilize machine learning (ML) models, there is a significant reluctance among cyber secu…
A Survey of Transaction Tracing Techniques for Blockchain Systems
Ayush Kumar, Vrizlynn L. L. Thing
With the proliferation of new blockchain-based cryptocurrencies/assets and platforms that make it possible to transact across them, it becomes important to consider not just whethe…
Enhanced Consistency Bi-directional GAN (CBiGAN) for Malware Anomaly Detection
Thesath Wijayasiri, Kar Wai Fok, Vrizlynn L. L. Thing
Static malware analysis remains a core technique in cybersecurity due to its ability to assess potentially malicious software without execution. Nevertheless, many existing static…
Network Attack Traffic Detection With Hybrid Quantum-Enhanced Convolution Neural Network
Zihao Wang, Kar Wai Fok, Vrizlynn L. L. Thing
The emerging paradigm of Quantum Machine Learning (QML) combines features of quantum computing and machine learning (ML). QML enables the generation and recognition of statistical…