Privecho

Inspiration

In today's rapidly developing digital economy, data has become a key driving force for social and economic growth. However, with the widespread sharing of data, security risks such as privacy breaches and data misuse are also on the rise. Under strict data protection regulations like GDPR and HIPAA, it is particularly important to establish a secure and reliable data-sharing mechanism.

To address this issue, we have launched the Privecho platform, which utilizes advanced technologies such as blockchain, zero-knowledge proofs, and homomorphic encryption to create an efficient and secure data-sharing ecosystem that fundamentally resolves privacy and trust issues in traditional data sharing.

What it does

Core Advantages

Privacy Protection: Ensures the security and confidentiality of user data during the sharing process.
Verifiable Computing: Provides verifiable computing results, enhancing trustworthiness.
Decentralized Security: Ensures system security and transparency through blockchain technology.

How we built it

We have built an overall framework based on EZKL and ZAMA FHE technology, successfully implementing and validating its feasibility in a sentiment analysis case.

Challenges we ran into

The main challenge we face is the execution efficiency and computational power consumption of FHE and ZK. To address this, we plan to launch opml and opfhe, using an optimistic approach to reduce costs and designing a reasonable economic model to incentivize users to provide computational power.

Accomplishments that we're proud of

In the sentiment analysis case, we successfully verified the effectiveness of the combination of FHE and ZKML, while achieving rigorous verification through validation nodes or blockchain. All relevant data is stored on Arweave.

What we learned

Technically, we have become familiar with FHE and ZKML technologies, and in terms of products, we have optimized the product experience. We are gradually improving the project.

What's next for Privecho

We will focus on developing more application scenarios, such as privacy protection and verifiable computing for large language models, and actively explore the demand in the ToB market while collaborating with excellent project teams. Join us to promote secure and efficient data sharing together!

Document: https://privecho.gitbook.io/docs