Interview with Gurgen Arakelov, CEO of Fair Math – Crypto News – Crypto News
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Interview with Gurgen Arakelov, CEO of Fair Math – Crypto News

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1 year ago

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In the ever-evolving landscape of digital security, new technologies promise not just to protect but to enhance the way we handle confidential information. One such breakthrough is the concept of Fully Homomorphic Encryption (FHE), a technology allowing computations on encrypted data. Fair Math, led by CEO Gurgen Arakelov, is pioneering this field, particularly through their development of the Collaborative FHE-(E)VM (Ethereum Virtual Machine). This innovation aims to integrate the robust security features of FHE with blockchain technology, thereby revolutionizing data privacy and application security in decentralized applications (dApps).

Question #1

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Gurgen, could you explain the significance of Fully Homomorphic Encryption and the FHE-(E)VM project for our readers?

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Certainly. FHE is a technology that enables data processing in its encrypted form without the need to access the secret key or plaintext data. This technology can completely eliminate the risk of data breaches when using cloud services and other resources, as only the data owner has access to them. FHE offers vast opportunities to advance machine learning, blockchain, and other crucial fields by enhancing confidentiality.

The FHE-(E)VM extends this capability to the Ethereum blockchain, enabling smart contracts to execute operations on encrypted inputs and outputs. A distinctive feature of the project is its focus on openness and community engagement.

Question #2

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What challenges are you addressing with the FHE-(E)VM?

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The primary challenge is the integration complexity and resource intensity of FHE. Historically, FHE has been criticized for being too computationally intensive to be practical. However, with recent advancements in algorithms and hardware, it’s becoming more viable. Our FHE-(E)VM project specifically addresses the need for scalable, efficient cryptographic protocols that can run within the Ethereum ecosystem, enhancing both security and performance.

Question #3

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Earlier, you highlighted your commitment to community engagement. Could you provide more detail on that and describe how you implement it in practice?

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Collaboration lies at the core of FHERMA, our joint project with the OpenFHE team dedicated to Fully Homomorphic Encryption (FHE) challenges. FHERMA is designed to foster a reliable environment that unites cryptographers, developers, and enthusiasts from around the world to collectively address FHE challenges and to build open-source FHE Components Library . The platform is fully automated and provides a clear and comprehensible way for an FHE circuit developer to become a member of the open-source community.

We believe that crowd-sourcing and collaboration are essential for innovation, especially in fields as complex and dynamic as cryptography. The platform not only facilitates the development of the FHE-(E)VM through these collaborative efforts but also ensures that the components developed are robust, secure, and efficient. Each solution is tested and validated, and the best solutions are integrated into FHE Components Library.

Question #4

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In addition to its collaborative development approach, does the FHE-(E)VM incorporate any specific features?

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The FHE-(E)VM has a modular design, thus instead of a one-size-fits-all approach, modules can be tailored to specific needs or applications. This is particularly advantageous in a diverse ecosystem like Ethereum’s, where different applications might have unique privacy and security requirements.

This modular approach also speeds up the development process, as individual components can be developed in parallel by different teams across the globe. Furthermore, it allows for the continuous improvement and updating of components without overhauling the entire system.

Question #5

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Looking ahead, how do you foresee FHE and the FHE-(E)VM influencing blockchain technology and data privacy?

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The implications are profound. By enabling computations on encrypted data, FHE-(E)VM not only enhances privacy but also opens up new possibilities for secure, decentralized applications. This can fundamentally change how data is handled on the blockchain, providing a robust solution to privacy concerns that have been prevalent in the crypto space.

Moreover, as we continue to develop and refine FHE-(E)VM, we expect to see increased adoption not just in blockchain but in any sector that handles sensitive data. Our vision is a digital ecosystem where privacy and security are inbuilt, and Fair Math is committed to making this vision a reality.

Question #6

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As conclusion

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Gurgen Arakelov’s insights into FHE and the innovative FHE-(E)VM project highlight the dynamic interplay between cryptography and blockchain technology. As Fair Math continues to push the boundaries of what’s possible in digital security, their work not only enhances the capabilities of blockchain technology but also sets new standards for privacy and security in the digital age. Their collaborative, open-source approach through FHERMA ensures that these advancements are robust, scalable, and accessible to developers worldwide, promising a more secure future for all digital transactions.

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