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A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks
Machine learning techniques for cybersecurity-related software engineering tasks are
becoming increasingly popular. The representation of source code is a key portion of the …
becoming increasingly popular. The representation of source code is a key portion of the …
ERFS: Efficient Feature Graph Representation for Intrusion Detection based on Flow Semantic Association
Y Luo, M He, X Wang - IEEE Transactions on Cognitive …, 2025 - ieeexplore.ieee.org
The detection of network threats remains a fundamental task in cyberspace defense. Graphs
are capable of capturing rich structural information and retaining content information. They …
are capable of capturing rich structural information and retaining content information. They …
Apicom: Automatic api completion via prompt learning and adversarial training-based data augmentation
Based on developer needs and usage scenarios, API (Application Programming Interface)
recommendation is the process of assisting developers in finding the required API among …
recommendation is the process of assisting developers in finding the required API among …
Interactive Cycle Model: The Linkage Combination among Automatic Speech Recognition, Large Language Models and Smart Glasses
L Wang - arxiv preprint arxiv:2411.10362, 2024 - arxiv.org
This research proposes the interaction loop model" ASR-LLMs-Smart Glasses", which model
combines automatic speech recognition, large language model and smart glasses to …
combines automatic speech recognition, large language model and smart glasses to …