The AI ​​explosion is the biggest investment topic in this cycle, whether it is OpenAI's GPT4o, Google's Gemini, or Meta's Llama3. The biggest demand in AI competition is data, and the LLM model requires massive amounts of data as nourishment. However, data privacy and security have always been the core pain points of the current AI development. Today we are going to introduce the AI+DePIN network @Privasea_ai, which is invested by Binance and is the first to use FHE technology (fully homomorphic encryption)

Pain points
The parameters of AI big models range from billions to trillions. In each link of data acquisition, pre-training, modeling, etc., the most critical asset is data. The reliability of data determines the accuracy of training results. And data is precisely the most vulnerable valuable asset in the era of AI big models.

In the AI ​​era, new security attacks such as ransomware, poisoning, and theft have begun to emerge, threatening the reliability of large model training data and the accuracy of results and causing serious economic losses.

1. Ransomware attacks AI data, causing the computing cluster to be unable to read and use data normally. Since large model training involves expensive infrastructure investment, the daily cost exceeds one million, and the economic losses are huge after the training is stopped.

2. Ransomware attacks are accompanied by data leaks. Attackers steal key assets such as model results and data and sell them publicly on the dark web, causing serious losses to companies. In March 2024, the Meta language model was leaked, and similar large models such as Alpaca and ChatLLama appeared within a week. Meta was subsequently forced to announce open source, and the initial investment was wasted, resulting in heavy losses.

Project Introduction


Privasea (@Privasea_ai) is an AI+DePIN network enabled by FHEML (Fully Homomorphic Encryption + ML), supporting various functions related to FHEML, including AI reasoning, model training, etc. and complying with the EU's GDPR General Data Protection Regulation

Privasea is committed to simple, easy-to-use and easy access, allowing users to easily leverage the power of the network to perform privacy-preserving AI computing without the need for expertise.


FHE technology is called the holy grail of privacy encryption schemes. The core idea is to perform calculations on encrypted data without knowing the data itself.
As shown below, take the magic box as an example:
-Your envelope: represents the original data you want to encrypt
-Magic Box Operation: Even without decrypting or opening the envelope, you can perform calculations on the data in the envelope
-New envelope: After the magic box operation, a new encryption result is obtained


The four core components of the project: HESea library, Privasea API, Privanetix, Privasea smart contract suite, each component plays an important role in ensuring data privacy and security

Privasea is committed to solving the balance between user privacy and distributed computing resources in the AI ​​processing process. It divides FHE into four modules: application layer, optimization layer, arithmetic layer, and primitive layer. Through general and customized solutions, it meets the development needs of different ecosystems.

1. HESea library, which contains a series of efficient and practical fully homomorphic encryption schemes, such as TFHE, CKKS, BGV, BFV, etc. This open source library provides developers with encryption technology and high-performance optimization for secure computing. With the HESea library, developers can access a variety of functions that enable them to perform basic primitive, arithmetic, and logical operations on encrypted data.

2. Privasea API is a set of comprehensive protocols and tools built on the HESea library. The API helps developers seamlessly integrate advanced privacy protection features into AI applications. By leveraging the basic FHE scheme provided by the HESea library, it provides raw power for various data privacy protection scenarios and AI cooperation protocol partners.

3. Privanetix is ​​a network of interconnected computing nodes. These nodes use the FHE algorithm to perform calculations on encrypted data to ensure that sensitive information is not leaked. By distributing computing tasks among multiple nodes, Privanetix improves the scalability and efficiency of the Privasea AI network. The network acts as a strong barrier to prevent data leakage and unauthorized access, further enhancing the security of users' sensitive information.

4. The Privasea Smart Contract Suite is a series of carefully designed smart contracts that handle all aspects of network management. It enables efficient management of the Privanetix network and incentivizes computing nodes, encouraging them to actively participate and further enhance the overall performance of the network.

actual case:
1. Biometric technology, as shown below
2. FHE's Proof of Human, currently working with @solana, has become the first Proof of Human application on Solana, bringing value in the areas of witch attacks and airdrops.
3. Al Modeling: Privasea uses the FHE solution to help financial systems build machine learning models using encrypted data to avoid compliance issues.

Privasea potential and usage scenarios:
➤ Healthcare: Collaborative medical research while protecting patient data privacy using Privasea
➤ Finance: Use Privasea for secure fraud detection and risk analysis without compromising sensitive financial data
➤Manufacturing: Using Privasea for collaborative product development and optimization, protecting intellectual property
➤Advertising: Privacy data analysis is performed through Privasea to achieve targeted advertising without compromising user privacy.

Partner
➤Privasea’s collaboration with top data infrastructure providers such as Chainlink and Google Cloud enables them to reach a wider audience
➤Privasea works with the TON ecosystem to provide support and integration for KYC and liveness detection for DEFI platforms and RWA
➤Privasea and BNB Greenfield work together to reshape the decentralized data storage and privacy landscape, bringing security and privacy protection to global data distributed storage

Financing
The total financing amount exceeds 5 million US dollars.
Investment institutions include: Binance Labs, OKX Ventures, MH Ventures, Laser Digital, Basics Capital and other outstanding VC institutions

Node plan should not be missed
Privasea uses a consensus mechanism that combines POW and POS
POW: WorkHeart Node is a USB hardware node for POW workload proof. You can earn Privasea tokens through WorkHeart USB mining.

POS: WorkHeart reward tokens can be staked in StarFuel NFT to get reward acceleration, permanently limited to 5,000

Summary: With the rapid development of AI, data privacy protection and security have become the focus.#Privaseaprovides a breakthrough solution for data privacy protection in the development of AI. Its innovative architecture, high attention to user privacy and advantages of FHE innovation are expected to become a leader in the field of AI data privacy. With the rapid growth of global AI data training demand, the demand for Privasea will grow exponentially in the future, which is worth looking forward to!