https://github.com/zama-ai/fhevm/blob/main/fhevm-whitepaper-v2.pdf (propose a solution combining fhe for confidential computation, threshold mpc protocols for fhe key generation and ciphertexts decryption, and zk proofs of knowledge to ensure correctness and integrity of encrypted inputs)
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* ⬛️ **[zero-knowledge systems](zero_knowledge)**
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* ⬛️ **[trusted execution environments](trusted_execution_environments)**
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* ⬛️ **[multi-party computation](multi_party_computation)**
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* ⬛️ **[(full) homomorphic encryption](homomorphic_encryption)**
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* ⬛️ **[(fully) homomorphic encryption](homomorphic_encryption)**
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* ⬛️ **[wallets and identity](wallets_and_identity)**
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## (full) homomorphic encryption
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## (fully) homomorphic encryption
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<br>
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#### cool readings
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* **[a fully homomorphic encryption scheme, by c. gentry (2009)](https://crypto.stanford.edu/craig/craig-thesis.pdf)**
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* **[confidential evm smart contracts with fhe, by zama (2024)](https://github.com/zama-ai/fhevm/blob/main/fhevm-whitepaper-v2.pdf)** (propose a solution combining fhe for confidential computation, threshold mpc protocols for fhe key generation and ciphertexts decryption, and zk proofs of knowledge to ensure correctness and integrity of encrypted inputs)
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* **[combining machine learning and homomorphic encryption in the apple ecosystem (2024)](https://machinelearning.apple.com/research/homomorphic-encryption)**
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* **[a fully homomorphic encryption scheme, by c. gentry (2009)](https://crypto.stanford.edu/craig/craig-thesis.pdf)**
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<br>
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