16:54:25
basses:matrix.org:
ART: A Graph-based Framework for Investigating Illicit Activity in Monero via Address-Ring-Transaction Structures
16:54:25
basses:matrix.org:
https://arxiv.org/abs/2511.16192
18:25:02
rucknium:
Nothing groundbreaking in this paper IMHO. Bases its analysis on 19 transactions from 2017.
18:27:00
rucknium:
Hits the same problem I have stated before: Machine learning with training sets works poorly on Monero because of the lack of valid training samples.
18:27:19
rucknium:
> The most significant constraint lies in the very limited support of both the positive and negative classes, reflecting the scarcity of publicly available labeled Monero data.
18:27:39
rucknium:
@ack-j:matrix.org may have thoughts too.
18:30:27
rucknium:
The grant programs that funded the paper:
18:30:27
rucknium:
https://cordis.europa.eu/project/id/101168562
18:30:27
rucknium:
https://cordis.europa.eu/project/id/101121281
19:04:42
321bob321:
Eu
19:07:41
321bob321:
The funding participants looks dodgy
19:07:52
321bob321:
Cyprus policeCyprusNet EU contribution€ 170 000,00
19:07:56
321bob321:
Random