Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning

Xiaoying Zhi, Yash Satsangi, Sean J. Moran, Shaltiel Eloul. Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning. In Mohammad Al Hasan, Li Xiong 0001, editors, Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022. pages 5069-5073, ACM, 2022. [doi]

@inproceedings{ZhiSME22,
  title = {Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning},
  author = {Xiaoying Zhi and Yash Satsangi and Sean J. Moran and Shaltiel Eloul},
  year = {2022},
  doi = {10.1145/3511808.3557212},
  url = {https://doi.org/10.1145/3511808.3557212},
  researchr = {https://researchr.org/publication/ZhiSME22},
  cites = {0},
  citedby = {0},
  pages = {5069-5073},
  booktitle = {Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022},
  editor = {Mohammad Al Hasan and Li Xiong 0001},
  publisher = {ACM},
  isbn = {978-1-4503-9236-5},
}