Into:Yanez MIID
The adversarial dataset for KYC.
As of · Jun 4, 10:37 UTC
generate adversarial identity data that compliance teams cannot legally produce themselves. Banks must test KYC and sanctions screening against realistic name variations, transliterations, and now deepfake face images. Real customer data is off limits. Yanez MIID generates the test set.
What is Yanez MIID
Yanez MIID (Multimodal Inorganic Identity Dataset) is 54. It produces synthetic identity variations that financial institutions use to stress test fraud detection, sanctions screening, and KYC pipelines.
The simple version: Sanctioned individuals use small spelling tweaks, alternate transliterations, and lookalike documents to slip past screening systems. Banks need a constantly evolving library of those evasion tactics to test against. Miners on SN54 produce them on demand.
Centralized equivalent: Hazy, Mostly AI, and Gretel.ai produce synthetic data for analytics. MIID is narrower and meaner, focused specifically on identity evasion patterns for AML, sanctions, and IDV testing.
How it works:
- Miners receive identity challenges from and return KAV variations (name, date of birth, address) plus face image variations from validator seed images. 198 active miners currently compete on the network.
- Validators issue the challenges, score outputs on accuracy, novelty, constraint adherence, and adversarial value, then update miner reputation across cycles.
Why This Matters
Other research from the same neighborhood of the network.
