Tensors, but not TensorFlow
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How can we share data amongst different business areas without breaking some regulation, such as Brazil's GDPR in 2020?
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Fully homomorphic encryption allows processing of data without accessing the plaintext, and without sharing. The best known instances use lattices, which lends itself nicely to quantum-resistance.
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Dataset of ~300K entries, real financial transactions over 24 months
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Everything is done on-prem, no clouds here
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Some regulations require the data to be _physically_ separated, yet another restriction that makes data sharing hard
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The encrypted data goes to the cloud for processing instead
#realworldcryptopic.twitter.com/7OaNirzA0c
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50x slowdown over unencrypted, which sounds like a lot, but compared to how slow FHE used to be (a few hundred times slower!) this is pretty good
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Short break then we'll be back for the blockchains and distributed ledgers session
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Next up, "Challenges and Cryptographic Solutions with Payment-Channel Networks"
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Lightning allows us to perform payments offchain
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On-path adversaries do not learn who pays to whom
#realworldcryptopic.twitter.com/fiLNkrbTNv
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Both issues may be helped if we randomize values at each hop on the path
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Lock contracts impl'd from homomorphic one-way functions; Schnorr-based construction
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These security and privacy properties formally proven in the UC framework
#realworldcryptopic.twitter.com/WJ4dB795nj
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Also useful for cross-currency interoperability
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Goal: constant collateral, where coins are locked only for some delta time, not indefinitely
#realworldcryptoPrikaži ovu nit - Još 40 drugih odgovora
Novi razgovor -
Čini se da učitavanje traje već neko vrijeme.
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crypto as in 'cryptography'


lightning