Mind Network Won the Silver Prize at Network State Virtual Hackathon
We are proud to win the Silver Prize and KNN3 Bounty of the Network State Hackathon out of 200+ participants.
Mind Network incorporates Zero Trust principles to maximize data usability without trade-offs on privacy protection. Mind Network uses Zero Knowledge Proofs and internally developed Adaptive Fully Homomorphic Encryption to achieve this.
During the hackathon, the Mind Network Team demonstrated how Mind Network can be used for private photo sharing on SocialFi under the leadership of founders Mason and George. With Mind Network, the user stories are reformed:
- Only masked photos are shared and accessed publically. No original photo can be accessed, including leaked photos.
- Important information (e.g. face encoding) is encrypted. Only authorized users can access important information based on permission.
- AI Models are decentralized and secured, and the same permission is decentralized.
Do you want to watch the full demonstration? Check the video to enjoy it.
“ Thank you, sponsors, judges, and organizations! An amazing ten days with all the builders and judges. We really enjoyed it. We sincerely hope the community can benefit from Mind Network.” — Mason Song (Mind Network CEO)
After this journey, Mind Network will continue to help solve privacy problems in Web3. Stay tuned and see you at ETHDenver！
About Mind Network
Mind Network is the first FHE Restaking Layer for POS and AI Networks. Our framework operates as an FHE validation network, bringing secure computation and consensus to AI, DePIN, EigenLayer AVS, Bittensor Subnet, and many critical POS networks. Mind Network’s solution has found initial product-market-fit with projects such as IO.Net, MyShell, Bittensor, AIOZ, Nimble AI, ChainLink, Connext and more adopting its solution. It has achieved 650k+ active users and 3.2M+ transactions processed on its testnet.
Mind Network is backed by Binance Labs, Hashkey, Big Brain, Chainlink, Comma3, SevenX, and received an Ethereum grant to conduct research on practical implementations for FHE technology on Ethereum.
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