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Vrizlynn L. L. Thing — most-cited papers & profile · Cybersecurity
← authors
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overview
Vrizlynn L. L. Thing
10
papers ·
68
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Enhancing Network Intrusion Detection Performance using Generative Adversarial Networks
2024 · 58 citations
Network Attack Traffic Detection With Hybrid Quantum-Enhanced Convolution Neural Network
2025 · 7 citations
"How Does It Detect A Malicious App?" Explaining the Predictions of AI-based Android Malware Detector
2021 · 2 citations
Exploring Emerging Trends in 5G Malicious Traffic Analysis and Incremental Learning Intrusion Detection Strategies
2024 · 1 citations
DefenSee: Dissecting Threat from Sight and Text -- A Multi-View Defensive Pipeline for Multi-modal Jailbreaks
2025
ExpIDS: A Drift-adaptable Network Intrusion Detection System With Improved Explainability
2025
Deepfake Detection with Deep Learning: Convolutional Neural Networks versus Transformers
2023
Privacy-Preserving Intrusion Detection using Convolutional Neural Networks
2024
Evaluating The Explainability of State-of-the-Art Deep Learning-based Network Intrusion Detection Systems
2024
Top co-authors
Kar Wai Fok
· 5
Zihao Wang
· 3
Ayush Kumar
· 2
Martin Kodys
· 1
Xinxing Zhao
· 1
Zhi Lü
· 1
Zhongmin Dai
· 1
Topics
Adversarial ML
Malware Detection
Anomaly Detection
Network Security
Threat Intelligence
LLM Security
Vulnerability Detection
Forensics
Privacy