3 papers
cs.CR2026
A Novel Byte-Level Flow-to-Image Encoding Method for Network Intrusion Detection Systems
Ziyu Mu, Zihui Yan, Xiyu Shi +1
Network-based Intrusion Detection Systems (IDS) are predominantly trained on tabular flow records, whose one-dimensional representations limit convolutional architectures from expl…
cs.LG2023
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey
Yunhao Chen, Zihui Yan, Yunjie Zhu
Generative data augmentation (GDA) has emerged as a promising technique to alleviate data scarcity in machine learning applications. This thesis presents a comprehensive survey and…
cs.SD2023
Data Augmentation for Environmental Sound Classification Using Diffusion Probabilistic Model with Top-k Selection Discriminator
Yunhao Chen, Yunjie Zhu, Zihui Yan +3
Despite consistent advancement in powerful deep learning techniques in recent years, large amounts of training data are still necessary for the models to avoid overfitting. Synthet…