1 citations · 1 across the 3 of their papers we have counts for
3 papers
Quality over Quantity: Semi-Supervised Detection of Illicit Bitcoin Flows via Feature Engineering
Yekaterina Smolenkova, Nickolay Larionov, Nikolay Ivanov +1
Detecting illicit cryptocurrency transactions is hampered by extreme class imbalance, adversarial obfuscation, and a scarcity of reliable labels. While semi-supervised learning (SS…
Shedding Light on Complex Bitcoin Mixer Transactions: 67-Fold Reduction in Unclassified Cases
Nikolay Larionov, Yekaterina Smolenkova, Yury Yanovich
Bitcoin's Unspent Transaction Output (UTXO) model enables public analysis of fund flows, but users often merge transactions into Shared Send Mixers (SSMs) to obscure these flows. U…
Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension
Marina Gomtsyan, Nikita Mokrov, Maxim Panov +1
The existing approaches to intrinsic dimension estimation usually are not reliable when the data are nonlinearly embedded in the high dimensional space. In this work, we show that…