Rand Hindi: Zama - Fully Homomorphic Encryption in Blockchain Applications & Privacy

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Phil Wang Pitches Psychological Thriller Starring WHO?! 24:35

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It’s the very first episode of The Big Pitch with Jimmy Carr and our first guest is Phil Wang! And Phil’s subgenre is…This Place is Evil. We’re talking psychological torture, we’re talking gory death scenes, we’re talking Lorraine Kelly?! The Big Pitch with Jimmy Carr is a brand new comedy podcast where each week a different celebrity guest pitches an idea for a film based on one of the SUPER niche sub-genres on Netflix. From ‘Steamy Crime Movies from the 1970s’ to ‘Australian Dysfunctional Family Comedies Starring A Strong Female Lead’, our celebrity guests will pitch their wacky plot, their dream cast, the marketing stunts, and everything in between. By the end of every episode, Jimmy Carr, Comedian by night / “Netflix Executive” by day, will decide whether the pitch is greenlit or condemned to development hell! Listen on all podcast platforms and watch on the Netflix Is A Joke YouTube Channel . The Big Pitch is a co-production by Netflix and BBC Studios Audio. Jimmy Carr is an award-winning stand-up comedian and writer, touring his brand-new show JIMMY CARR: LAUGHS FUNNY throughout the USA from May to November this year, as well as across the UK and Europe, before hitting Australia and New Zealand in early 2026. All info and tickets for the tour are available at JIMMYCARR.COM Production Coordinator: Becky Carewe-Jeffries Production Manager: Mabel Finnegan-Wright Editor: Stuart Reid Producer: Pete Strauss Executive Producer: Richard Morris Executive Producers for Netflix: Kathryn Huyghue, Erica Brady, and David Markowitz Set Design: Helen Coyston Studios: Tower Bridge Studios Make Up: Samantha Coughlan Cameras: Daniel Spencer Sound: Charlie Emery Branding: Tim Lane Photography: James Hole…

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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:

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This episode is hosted by Friederike Ernst. Show notes and listening options: epicenter.tv/523

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Rand Hindi: Zama - Fully Homomorphic Encryption in Blockchain Applications & Privacy

Epicenter - Learn about Crypto, Blockchain, Ethereum, Bitcoin and Distributed Technologies

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MP3•בית הפרקים

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

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Rand Hindi: Zama - Fully Homomorphic Encryption in Blockchain Applications & Privacy