Adrian Shuai Li
According to our database1,
Adrian Shuai Li
authored at least 9 papers
between 2022 and 2025.
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Bibliography
2025
LLMalMorph: On The Feasibility of Generating Variant Malware using Large-Language-Models.
CoRR, July, 2025
Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples.
Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025
2024
Improving Malware Detection with Adversarial Domain Adaptation and Control Flow Graphs.
CoRR, 2024
Overcoming the lack of labeled data: Training malware detection models using adversarial domain adaptation.
Comput. Secur., 2024
Adversarial Domain Adaptation for Metal Cutting Sound Detection: Leveraging Abundant Lab Data for Scarce Industry Data.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024
2023
Building Manufacturing Deep Learning Models with Minimal and Imbalanced Training Data Using Domain Adaptation and Data Augmentation.
Proceedings of the IEEE International Conference on Industrial Technology, 2023
2022
A Capability-based Distributed Authorization System to Enforce Context-aware Permission Sequences.
Proceedings of the SACMAT '22: The 27th ACM Symposium on Access Control Models and Technologies, New York, NY, USA, June 8, 2022