Auryn
@auryn
A few weeks ago, we announced @EnclaveE3—a protocol for encrypted execution environments (E3). It grew from our efforts to solve for secret ballot, but has evolved into something much broader, tackling deeper trust and privacy challenges in web3. https://x.com/EnclaveE3/status/1841502752674828324
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Auryn
@auryn
The original problem we set out to solve was creating a web3-native way for private voting. Existing solutions weren’t sufficient—they either exposed votes before tallying or required trusted operators, both of which conflicted with our goals of privacy and decentralization.
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Auryn
@auryn
Commit-reveal schemes are common but come with a major flaw: votes are private only temporarily. While this prevents bias when casting votes, it leaves the door open for collusion, as votes eventually become public. That was the first trade-off we wanted to address.
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Auryn
@auryn
@zkMACI offer “receipt freeness,” making it impossible to prove how someone voted, but relies on a trusted operator (the coordinator) to tally the votes and guarantee privacy. This creates a central point of trust, which we wanted to eliminate to stay true to web3 principles.
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Auryn
@auryn
Similarly, systems based in Trust Execution Environments (TEE) offer guarantees of privacy and integrity based in apparently secure hardware, which ultimately boils down to trust in the supply-chain, setup, and physical access to that hardware; trusted operators.
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Auryn
@auryn
Enclave uses the combination of fully homomorphic encryption (FHE), zero-knowledge proofs (ZKP), and threshold cryptography. With @EnclaveE3, no single trusted party has access to inputs, and inputs remain private, even after the final result is published.
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Auryn
@auryn
The real breakthrough came when we realized that this architecture could extend beyond just voting. @EnclaveE3 is a protocol that allows secure computations on private data controlled by multiple parties across a range of applications, while maintaining privacy throughout the entire process.
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Auryn
@auryn
For example, @EnclaveE3 could power sealed-bid auctions, where all but the winning bid remain encrypted—hidden from everyone—but the result is computed transparently. It could also enable secure research over private medical data, where sensitive information is never exposed.
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