Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning.
Xiaoying Zhi|Yash Satsangi|Sean J. Moran|Shaltiel Eloul
| Anthology ID: | DBLP:conf/cikm/ZhiSME22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 5069-5073 |
| URL: | https://doi.org/10.1145/3511808.3557212 |
| DOI: | https://doi.org/10.1145/3511808.3557212 |
| DBLP: | conf/cikm/ZhiSME22 |
| BibTeX: |
@inproceedings{zhi-2022-ledgit,
author = {Xiaoying Zhi and
Yash Satsangi and
Sean J. Moran and
Shaltiel Eloul},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{Ledgit: A Service to Diagnose Illicit Addresses on Blockchain using Multi-modal Unsupervised Learning}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {5069--5073},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557212},
doi = {https://doi.org/10.1145/3511808.3557212}
}