4 papers
APT-ClaritySet: A Large-Scale, High-Fidelity Labeled Dataset for APT Malware with Alias Normalization and Graph-Based Deduplication
Zhenhao Yin, Hanbing Yan, Huishu Lu +4
Large-scale, standardized datasets for Advanced Persistent Threat (APT) research are scarce, and inconsistent actor aliases and redundant samples hinder reproducibility. This paper…
Cultivating Game Sense for Yourself: Making VLMs Gaming Experts
Wenxuan Lu, Jiangyang He, Zhanqiu Zhang +2
Developing agents capable of fluid gameplay in first/third-person games without API access remains a critical challenge in Artificial General Intelligence (AGI). Recent efforts lev…
Facing Unknown: Open-World Encrypted Traffic Classification Based on Contrastive Pre-Training
Xiang Li, Beibei Feng, Tianning Zang +2
Traditional Encrypted Traffic Classification (ETC) methods face a significant challenge in classifying large volumes of encrypted traffic in the open-world assumption, i.e., simult…
Feature Weaken: Vicinal Data Augmentation for Classification
Songhao Jiang, Yan Chu, Tianxing Ma +1
Deep learning usually relies on training large-scale data samples to achieve better performance. However, over-fitting based on training data always remains a problem. Scholars hav…