56 subscribers
התחל במצב לא מקוון עם האפליקציה Player FM !
פודקאסטים ששווה להאזין
בחסות


1 Venture Investing in Mobility + Tech with University of Michigan’s Early-Stage Zell Lurie Commercialization Fund 39:30
Rand Hindi: Zama - Fully Homomorphic Encryption in Blockchain Applications & Privacy
Manage episode 385535770 series 1652309
Homo- (Greek prefix meaning ‘same’); -morphic (Greek suffix meaning ‘having a specific shape/form’)
Intuitively, one could deduct that homomorphic encryption indicates that the initial data and the encrypted result (cipher) could share the same form. Based on this property, it can be inferred that computation can be performed on the encrypted data, without prior decryption. By decrypting the result, you get the same output as the computation performed on the unencrypted data. While homomorphic encryption can be either additive or multiplicative, fully homomorphic encryption supports both types of operations. Unlike ZKPs, which are proofs of computational integrity, fully homomorphic encryption allows for encrypted data computation, without revealing additional information about the original data. This could provide the missing link for ensuring private transactions on blockchains’ public ledgers.
We were joined by Rand Hindi, CEO of Zama, to discuss fully homomorphic encryption solutions, how they differ from ZKPs & MPC, and how they can be leveraged to ensure compliant programmable privacy.
Topics covered in this episode:
- Rand’s background and his interest in privacy
- Meeting Pascal and founding Zama
- Fully homomorphic encryption (FHE)
- Zero knowledge proofs vs. Multi-party computation vs. Fully homomorphic encryption
- Taking fully homomorphic encryption 'mainstream'
- Zama’s products
- fhEVM
- How multi-party computation would secure fhEVM
- Multi-key homomorphic encryption & functional encryption
- Deploying an FHE rollup
- FHE use cases
- Privacy
- Zama’s business model
Episode links:
Sponsors:
- dYdX Foundation: The recently launched dYdX chain features new governance and token economics, that empower stakers and promote validator decentralisation. Bridge your DYDX tokens and contribute to the evolution of dYdX chain, fully permissionless and community driven. - https://bit.ly/47kqG59
This episode is hosted by Friederike Ernst. Show notes and listening options: epicenter.tv/523
611 פרקים
Rand Hindi: Zama - Fully Homomorphic Encryption in Blockchain Applications & Privacy
Epicenter - Learn about Crypto, Blockchain, Ethereum, Bitcoin and Distributed Technologies
Manage episode 385535770 series 1652309
Homo- (Greek prefix meaning ‘same’); -morphic (Greek suffix meaning ‘having a specific shape/form’)
Intuitively, one could deduct that homomorphic encryption indicates that the initial data and the encrypted result (cipher) could share the same form. Based on this property, it can be inferred that computation can be performed on the encrypted data, without prior decryption. By decrypting the result, you get the same output as the computation performed on the unencrypted data. While homomorphic encryption can be either additive or multiplicative, fully homomorphic encryption supports both types of operations. Unlike ZKPs, which are proofs of computational integrity, fully homomorphic encryption allows for encrypted data computation, without revealing additional information about the original data. This could provide the missing link for ensuring private transactions on blockchains’ public ledgers.
We were joined by Rand Hindi, CEO of Zama, to discuss fully homomorphic encryption solutions, how they differ from ZKPs & MPC, and how they can be leveraged to ensure compliant programmable privacy.
Topics covered in this episode:
- Rand’s background and his interest in privacy
- Meeting Pascal and founding Zama
- Fully homomorphic encryption (FHE)
- Zero knowledge proofs vs. Multi-party computation vs. Fully homomorphic encryption
- Taking fully homomorphic encryption 'mainstream'
- Zama’s products
- fhEVM
- How multi-party computation would secure fhEVM
- Multi-key homomorphic encryption & functional encryption
- Deploying an FHE rollup
- FHE use cases
- Privacy
- Zama’s business model
Episode links:
Sponsors:
- dYdX Foundation: The recently launched dYdX chain features new governance and token economics, that empower stakers and promote validator decentralisation. Bridge your DYDX tokens and contribute to the evolution of dYdX chain, fully permissionless and community driven. - https://bit.ly/47kqG59
This episode is hosted by Friederike Ernst. Show notes and listening options: epicenter.tv/523
611 פרקים
כל הפרקים
×
1 Stripe: The Stablecoin (R)Evolution - John Egan 1:05:36

1 t1 Protocol: Unifying Ethereum's L2 Liquidity Through Real-Time Proving - Can Kisagun 1:01:41

1 DappCon 25: The Ticker Is $ETH - Jerome de Tychey, Joshua Dávila & Nixorokish 1:12:32

1 Lombard: Unlocking Bitcoin DeFi Through Liquid, Yield-Bearing LBTC - Jacob Phillips 1:11:09

1 Staking Rewards: Is Crypto Staking Killing Decentralisation? - Mirko Schmiedl & Tobias Jung 54:55

1 ETHPrague: ETH Renaissance - Austin Griffith, Brenda Loya, Joseph Schweitzer, Marek Olszewski 1:00:25

1 The Multi-Chain Avalanche - Emin Gün Sirer 31:52

1 Initia: Incentively Aligned Appchains - Ezaan Mangalji, Anil Lulla & Jose Maria Macedo 1:02:08

1 Ethereum Foundation: Humanity’s Shared World Computer - Hsiao-Wei Wang & Tomasz Stańczak 1:10:21

1 Taiko: Scaling Ethereum in a Decentralised Manner - Joaquin Mendes 1:08:05

1 Mysten Labs: How Sui Leverages Move to Build the Composable Web3nternet - Adeniyi Abiodun 1:03:09

1 Maple Finance: On-Chain Institutional Yield & Lending Markets - Sidney Powell 54:49

1 Tally: The Software Layer for Tokenized Organizations - Dennison Bertram 1:01:21

1 ENS V2 Cross-Chain Domains & Namechain - Nick Johnson 48:42

1 Lido V3: Ushering in Institutional Staking Through stVaults - Hasu 1:19:32
ברוכים הבאים אל Player FM!
Player FM סורק את האינטרנט עבור פודקאסטים באיכות גבוהה בשבילכם כדי שתהנו מהם כרגע. זה יישום הפודקאסט הטוב ביותר והוא עובד על אנדרואיד, iPhone ואינטרנט. הירשמו לסנכרון מנויים במכשירים שונים.