Privasea, an AI network that solves user data privacy and security issues

In the era of big data with increasing digitization, user data privacy and security have become key issues, and data security has become more important than ever.
As a pioneer of DEPIN+AI technology, Privasea AI Network uses fully homomorphic encryption (FHE) technology to ensure that users' data privacy issues are solved during use.

Privasea Overview

What is Privasea

Privasea AI Network is a powerful system designed to prioritize data privacy and security throughout the AI ​​computing process. It uses an innovative technology called fully homomorphic encryption (FHE), which encrypts sensitive information without exposing it in its original form, producing the same results as calculations performed on unencrypted data.
By leveraging this cutting-edge approach, the network facilitates collaborative AI processing among multiple parties while ensuring the confidentiality of sensitive information.

Privasea's goals

One of the goals of the Privasea AI Network is to enable encrypted computing of personal data while complying with data protection regulations, including the EU’s strict General Data Protection Regulation (GDPR). The network enhances trust in machine learning systems by protecting sensitive information such as medical records and financial data from unauthorized access and data leakage.

Privasea financing situation

According to reports, on April 3, Privasea, which was early invested by Binance Labs, announced the completion of a new round of strategic financing, with participation from OKX Ventures, Laser Digital controlled by Nomura Group, and Tanelabs, an incubator that holds shares in SoftBank, as well as some from technology companies. and angel investors in the blockchain field, such as Zakaria (zak) Awes and Luke Sheng.

Currently, the project has received two rounds of strategic financing, including pre-seed/seed financing, and has completed a total financing of US$5 million to advance its pioneering integration of fully homomorphic encryption machine learning (FHEML) into distributed systems. in computing networks.

Privasea cooperation status

Privasea forms partnership with Zama

The Privasea and Zama partnership will establish a new entrant in the field of AI data privacy by integrating Zama and Privasea’s AI network’s FHE technology.
The collaboration seeks practical applications of FHE by developing machine learning encryption, while focusing on artificial intelligence by enhancing privacy and security in all areas. The most important part of this is that algorithms can be fused.
Privasea and Zama can now combine their technologies to bring superior security sharing to any company.

Privasea forms partnership with Fhenix

The partnership will leverage the expertise of Privasea and Fhenix to advance the development of secure AI applications using FHE.
Fhenix’s partnership with Privasea represents an important step towards integrating fully homomorphic encryption into artificial intelligence and blockchain applications.
The next generation of blockchain applications will leverage FHE to create confidential smart contracts.

Privasea team situation

David Jiao, founder and CEO of Privasea, was previously co-founder and CEO of NuLink and a system architect at Volvo Car Group. Graduated from Beijing University of Posts and Telecommunications with a bachelor's degree in computer science.
Zhuan Cheng, co-founder and CTO of Privasea, is also the CTO of NuLink and was previously the CTO of MAP Protocol. He holds a bachelor's degree in mathematics from the University of Science and Technology of China and a PhD in applied mathematics from the Illinois Institute of Technology.
Zhuan Cheng started their career in 2018 as a blockchain analyst at MinTech, where they designed a public blockchain with an innovative consensus algorithm and assisted the company in obtaining two patents and five patents in the blockchain field. Reproduction rights.
Zhuan also led the research team to implement the compression algorithm using the Inverse Bloom Lookup Table. In 2019, they joined Gaia Technology Pty. Ltd. as blockchain developers, participated in the development of DAPP in the EOS chain, and led the development team to implement the blockchain core library based on Ethereum.
In 2020, they became co-founders of MAP Protocol, which aims to be a secure end-to-end solution for any blockchain resident to move and exchange assets. In 2021, they serve as CTO of NuLink Network. Finally, in 2022, they became co-founders/CTO of Privasea AB.

Privasea app launched

Privasea has officially launched its application ImHuman on the AppStore and Google Play on June 13.
Within a week of ImHuman being launched, 100,000+ individuals have registered to use it.

What is ImHuman

This application is a PoH (Proof of Humanity) technology that verifies the user's human liveliness to protect their digital presence from being impersonated by robots and AI.

The steps to use the ImHuman program are as follows:

1. The ImHuman application will use your front camera to scan the vectors on your face. These vectors are encrypted directly on your phone.
2. The encrypted facial vectors are then sent to our servers, where they await orders for the next time you need to verify.
3. When facial vector verification is needed, your new facial vector will be scanned again. The data is encrypted again on your device and sent to the ImHuman application for comparison.
4. You can ultimately receive airdrops directly within the application.

This application is another new field where Privasea provides efficient and user-friendly privacy solutions through FHE (Fully Homomorphic Encryption), AI, and blockchain.

Stay alert to Privasea

Privasea was originally established to ensure data privacy for users in the process of using AI, which is undoubtedly a good thing. The launch of its application, ImHuman, caused a sensation, with over 100,000 registered users within less than a week.

• Encrypted facial vectors in ImHuman are uploaded to the server: Uploading facial vectors to the server carries risks. If the server is attacked, the facial vectors could be stolen.
• Integrity of facial vectors: The integrity of the user's facial vector scan can be directly used for facial verification, which seems convenient. However, if stolen, it could have dire consequences.
• Be cautious with strangers online: The early bird incentive plan of ImHuman has led to numerous netizens promoting and sharing invitation codes, hoping to benefit by attracting more users. During this period, it is advised to remain vigilant and rationally analyze the situation to avoid trusting entirely and suffering losses.