Search Results for author:
Found 2 papers, 0 papers with code
Machine Learning Model Attribution Challenge
We present the findings of the Machine Learning Model Attribution Challenge.
Towards Malicious address identification in Bitcoin
We are motivated to study the Bitcoin transaction network and use the temporal features such as burst, attractiveness, and inter-event time along with several graph-based properties such as the degree of node and clustering coefficient to validate the applicability of already existing approaches known for other cryptocurrency blockchains on the Bitcoin blockchain.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
