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Recording from my talk: Without Permission, With Programmable Cryptography 🔐 Programmable Cryptography: Reclaim Your Data - ZKPs, MPC, FHE let us use our data in novel ways - Most online data is cryptographically signed (HTTPS, DKIM) - We can make this data portable and use it how we want...

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oskarth

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23,756 görüntüleme • 1 yıl önce •via X (Twitter)

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This "notary" solution doesn't seem to work. Users don't get any help either. Avoid it, it's not reputable

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How do ZK proofs differ from multi-party computations (MPC)? 🤔 With ZK proofs, one person has private data and can prove something about it. Example: Let’s say you want to do a transaction with someone and you want to show them you have enough money. You could prove that without revealing the actual amount. With MPC, you can have many people with private data, and you can run a more complex query - a computation. Example: Let’s say you want to calculate an average salary of 3 friends without anyone revealing their salary. Each person could break down their salary into three parts that sum to the total (e.g. for 150 it might be 50 +500 -400). They give just one piece of that sum to each of the others. These are then summed together and eventually divided to calculate the average. Without anyone knowing anything they shouldn't. That is one way that MPC can work. Replace salary with any confidential data in this example and you get the idea! So, ZK proofs are like binary MPC for 1 person. Each for different use cases. 🤝 Partisia empowers complete data privacy at rest, in transit and in use through MPC, unlocking major use cases in AI, DeFI, Healthcare, RegTech, ID and more. Our founder Ivan, co inventor of the Merkle-Damgard hash function and pioneer of MPC since 1988, explains. 🎙️👇
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How do ZK proofs differ from multi-party computations (MPC)? 🤔 With ZK proofs, one person has private data and can prove something about it. Example: Let’s say you want to do a transaction with someone and you want to show them you have enough money. You could prove that without revealing the actual amount. With MPC, you can have many people with private data, and you can run a more complex query - a computation. Example: Let’s say you want to calculate an average salary of 3 friends without anyone revealing their salary. Each person could break down their salary into three parts that sum to the total (e.g. for 150 it might be 50 +500 -400). They give just one piece of that sum to each of the others. These are then summed together and eventually divided to calculate the average. Without anyone knowing anything they shouldn't. That is one way that MPC can work. Replace salary with any confidential data in this example and you get the idea! So, ZK proofs are like binary MPC for 1 person. Each for different use cases. 🤝 Partisia empowers complete data privacy at rest, in transit and in use through MPC, unlocking major use cases in AI, DeFI, Healthcare, RegTech, ID and more. Our founder Ivan, co inventor of the Merkle-Damgard hash function and pioneer of MPC since 1988, explains. 🎙️👇

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Did you know that Facebook made $134.9 billion in 2023 from selling your data? Our society has come to the point where we accepted an unfair model in which privacy is being exploited and data gifted to big tech that is selling it for billions. We intend to break the norm of how data is shared on the internet because it is outdated and unfair. You should be empowered with more control and monetization models for your data!
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The government are lining up US spy tech company Palantir for a £480m contract to manage our NHS health data. This is being done without transparency and without our consent. We say loud and clear: Palantir, hands off our health data! Steve Barclay

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