Practical and White-Box Anomaly Detection through Unsupervised and Active Learning

Yao Wang, Zhaowei Wang, Zejun Xie, Nengwen Zhao, Junjie Chen 0003, Wenchi Zhang, Kaixin Sui, Dan Pei. Practical and White-Box Anomaly Detection through Unsupervised and Active Learning. In 29th International Conference on Computer Communications and Networks, ICCCN 2020, Honolulu, HI, USA, August 3-6, 2020. pages 1-9, IEEE, 2020. [doi]

@inproceedings{WangWXZ0ZSP20,
  title = {Practical and White-Box Anomaly Detection through Unsupervised and Active Learning},
  author = {Yao Wang and Zhaowei Wang and Zejun Xie and Nengwen Zhao and Junjie Chen 0003 and Wenchi Zhang and Kaixin Sui and Dan Pei},
  year = {2020},
  doi = {10.1109/ICCCN49398.2020.9209704},
  url = {https://doi.org/10.1109/ICCCN49398.2020.9209704},
  researchr = {https://researchr.org/publication/WangWXZ0ZSP20},
  cites = {0},
  citedby = {0},
  pages = {1-9},
  booktitle = {29th International Conference on Computer Communications and Networks, ICCCN 2020, Honolulu, HI, USA, August 3-6, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-6607-0},
}