Soda_mide (sodamide)

For today's #ZamaCreatorProgram I'll be discussing Zero-Knowledge Proofs in relation to @zama. How @zama enhances Zero-knowledge as a tech. Before I start you will need to understand what FHE means and how it works. FHE means Fully Homomorphic Encryption and It lets computers do math on data while the data stays locked (encrypted) i.e You encrypt data locally, send the locked data to a worker, the worker computes on the locked data, and returns a locked result. No one sees the raw data. So let's start by asking what is Zero-Knowledge (ZK)? In simple terms, ZK Proofs let you prove you know a secret (like a password) without ever showing the secret. You just show a short proof that it’s true.

• 1 reply
• 2 recasts
• 8 reactions

Today I'll be Explaining Privacy vs Transparency: How @zama Solves this blockchain problem #ZamaCreatorProgram Blockchain's greatest strength is also its biggest flaw as anyone can verify transactions on a public ledger meaning there's zero privacy as all our data is exposed this lack of confidentiality is a major roadblock. Therefore for blockchain to go mainstream, we need both verifiability and privacy. The Solution is computing on Encrypted Data. imagine your data is locked in a safe and given to someone to work on and they could perform their task without ever opening the box. That's what Fully Homomorphic Encryption (FHE), the core technology used by @zama offers. Introducing the @zama Protocol @zama has built a protocol that acts as a confidentiality layer for any blockchain (like Ethereum). It allows smart contracts to work with encrypted data as if it were normal data. This means developers can build applications that are both decentralized and private.

• 2 replies
• 3 recasts
• 4 reactions

Today I'll be Explaining @zama Homomorphic Encryption and its practical use cases. #ZamaCreatorProgram Homomorphic Encryption (HE) is a cryptographic methods that let you compute or work on encrypted data while Fully Homomorphic Encryption (FHE) means you can do any computation on encrypted data. Blockchains are built on public verification. Everyone can see the transactions to agree on the state of the network. But this creates a massive privacy problem. You can't put sensitive data like your salary, identity, or financial strategies on chain. FHE solves this confidentiality dilemma as it gives us privacy and verifiability Some practical use cases of @zama's FHEVM include: 1-Confidential Finance & DeFi: i-Private Payments: Your account balance and transaction amounts can remain encrypted. No more broadcasting your wealth to the world. ii-Preventing Bots: In DeFi, bots see your transaction and front run you, costing you money. With FHE, your swap amount is encrypted, making it invisible to bots.

• 2 replies
• 2 recasts
• 7 reactions

Today I want to talk about @zama vs. Other Privacy Solutions: What Makes It Different #ZamaCreatorProgram As we all know there a lot way to tackle privacy related problems like ZK- proofs, MPC etc. But first let take a quick look at the major players in blockchain privacy: 1-ZK-Proofs: Which lets you prove something is true without revealing the data 2-TEEs(Trusted Execusion Environments): Which uses a secure "Black box" hardware that processes data privately. 3-MPC (Multi-Party Computation): Splits data among many parties who compute together. 4-FHE (Fully Homomorphic Encryption): The tech @zama uses. Allows computation directly on encrypted data.

• 3 replies
• 1 recast
• 4 reactions