Data Privacy

SynonAI leverages the transparency of blockchain technology while employing sophisticated cryptographic methods to safeguard user data during input and output phases.

Miners’s asset

• Every miner (also referred to as a model host) within the network generates a distinct pair of public and private keys.

• Miners disclose their public keys for user access.

Data Encryption by Users

• Users create a symmetrical encryption key for the secure encryption of input data destined for machine learning model inference.

• This symmetrical key is then encrypted using the public key of each selected miner. Should a user choose N miners, this encryption process is replicated N times with each miner's public key.

• The user compiles the encrypted input data, the assortment of encrypted symmetrical keys, and their public key into a submission. This submission is then broadcasted across the network.

Data Handling by Miners

• Upon receiving a user's submission, a miner decrypts the symmetrical key using its private key.

• With the symmetrical key, the miner decrypts the user's original input data.

• The miner processes the model inference task with the decrypted input data.

• Once the task is complete, the miner encrypts the result using the user's public key.

• This encrypted output is shared on the network, accessible solely by the originating user, who can decrypt it with their private key.

Security Measures

• The implementation of symmetrical encryption for input data ensures exclusive access to the original data by the corresponding miner via its private key.

• Output data encrypted with the user's public key guarantees that only the user can decrypt and access the model's results.

• This layered encryption strategy effectively shields user data from unauthorized viewing at all stages.

• The public key infrastructure (PKI) framework confirms that encrypted messages are decipherable solely by the designated recipients, thus securing end-to-end data confidentiality.