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< Schizo notes // FHE > This is going to be a long post, but if you fancy exploring the upcoming narrative/tech, it will be well worth it ⚠️ What if you don't need to decrypt data for computing tasks? FHE - the “Holy Grail of Cryptography”
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1/ Any computational operation on data typically requires decryption, exposing sensitive user information to service providers. To enhance privacy and security, the adoption of end-to-end encryption is essential.
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2/ Fully Homomorphic Encryption (FHE) offers a transformative approach to data security by allowing computations on encrypted data without the need for decryption.
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3/ This technology not only preserves the confidentiality of data but also broadens the scope for secure data analysis and the development of decentralized services.
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4/ By maintaining data encryption throughout processing, FHE significantly enhances privacy protections and opens new possibilities for secure and private computation in various fields.
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5/ FHE is not yet widely adopted mainly due to its significant computational costs. This form of encryption generates extremely long bit strings, often exceeding 10,000 bits, which are not efficiently processed by standard GPUs and CPUs.
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6/ As a result, operations involving FHE tend to be slow and energy-intensive. However, despite these challenges, FHE holds potential for future-proofing data security against quantum computing threats, as its complex algorithms could be resistant to quantum attacks.
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7/ Excitingly, companies such as intel, DARPA, Chain Reaction are in the final stages of developing specialized chips for FHE. These chips are tailored to address the computational challenges associated with FHE. Personally, though, I see them as chips for AI or NPU -> the song of the future.
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8/ Prime example of FHE application lies in its integration into AI systems. Consider this scenario: Before transmitting facial image data to the cloud, the client encrypts it. Then, the AI model at company X, equipped with FHE capabilities, processes these encrypted data.
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