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Normal hash functions are not efficient inside zkSNARKs. Ideally they would be secure, operates on field elements, and minimizes the number of field mults. AES would be close but it does not minimize mults.
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All the mults are limited to the AES sbox
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In zkSNARKs we are _verifying_ a computation, vs _doing_ a computation
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Non-determinism, and cost of mult is independent of the field size
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Got it down to 2% of regular AES!
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Considered very fast and secure in the specific use case as a hash inside SNARKs over 128bit+ fields
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Very last talk, "Detecting Money Laundering Activities via Secure Multi-PartyComputation for Structural Similarities in Flow Networks"
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How can these global-scale money laundering schemes be detected and prevented?
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Currently transaction monitoring is a highly manual process, collaboration across banks is hard because transaction data is private (also regulations).
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#ttants: ML: money laundering ML: machine learning#realworldcryptoPrikaži ovu nit -
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Looks like someone needs a big data pipeline…
#realworldcryptopic.twitter.com/NpIO32PzwP
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crypto as in 'cryptography'