At present, the development of artificial intelligence industry is in full swing. As a subdivision field of artificial intelligence, face recognition has opened the “face brushing era” in China. It can be seen in daily payment, travel, bank card, security inspection, company attendance, criminal pursuit and other major scenes.

Recently, according to US media, an American artificial intelligence company Kneron recently launched a test for visiting public places and cheating face recognition system to visit or complete payment. The mask made by a Japanese company successfully broke through WeChat payment, Alipay brush payment and train station face one family verification. As soon as the news came out, it caused a lot of discussion.

Face recognition security needs more technical progress to ensure that technology can help development only if it is right

Is face recognition safe?

The continuous development of artificial intelligence technology brings a lot of technical dividends, but also brings some worries. Face recognition is one of the important fields of artificial intelligence.

In fact, face recognition has been cracked frequently. In January this year, the network security department of the Sichuan Provincial Public Security Bureau knocked out a software using dynamic facial images, cracked the face recognition system, and seized criminal suspect from Alipay funds. 8 suspects were arrested, and 3000 personal data were collected.

More than that, other crack cases are also born at the moment. In October this year, the science team of class 402 of Xiuzhou foreign language school in Jiaxing revealed that in an extracurricular scientific experiment, they found that only one printed photo could replace a real person to brush his face, deceive Fengchao intelligent cabinet in the community, and take out the parents’ goods.

At the 15th International Conference on information security and cryptography, Deng Huijie, Professor of network security at AXA University of management of Singapore, also said: “through experiments, it is found that 70% of the total users can successfully unlock facial recognition in personal photos published on social platforms.” In other words, a picture you put on the Internet is likely to unlock your facial recognition directly.

Face recognition security needs more technical progress

With so many living cases, is face recognition still credible? In this regard, kneron said that the reason why masks and photos can deceive the world is that the real person information pointed to by masks or photos has been entered into the relevant face recognition system. For the time being, he thinks that the act of using masks to deceive will not be widely spread, but this technology and method may be cheated by people pretending to be celebrities.

The team stressed that the experiments were carried out under the permission and supervision of the supervisors. It also said that as long as the security inspectors were present and found that the testers used masks, they would not be easily allowed to pass the security inspection, so the relevant checkpoints would not be completely without security.

In addition, according to business insider, a US technology news platform, the face recognition systems of apple and Huawei in this experiment use more complex structured light imaging technology, so the system is not cheated by 3D masks.

So how to look at the development of face recognition technology? How to ensure its safety?

On the one hand, social demand breeds the development of new technology. Technological progress feeds social progress, promotes each other, and blindly curbs it. It is not advisable to be afraid of it like a tiger. Nowadays, face recognition is not only applied in mobile payment and daily travel, but also plays an important role in security protection, criminal police pursuit and other fields. Face recognition, as a big industry in artificial intelligence industry, has generated a wave of dividends in the industry. In the industry value chain, the focus of the enterprise is more profits, so it has been injected too many bubbles.

In this regard, we should strengthen the top-level design, increase the support for independent research and development and application of core technology, accelerate the combination of technological innovation and application, and actively solve the problems arising from practical application.

On the other hand, we should regulate the application and development of face recognition by strengthening the supervision of laws and regulations and raising the threshold. The development of technology is closely related to people, and many privacy issues such as information leakage in face recognition need more attention from enterprises and the public. Technology profit-making enterprises need to have legal awareness, protect public privacy and security, implement accountability system, who divulges who is responsible.

Conclusion: social demand leads to new technology, technology boosts social progress, and technical security problems are still unavoidable. However, only by following the national development trend and pursuing technological progress can we make science and technology work together, and our “face brushing era” will be more secure, orderly and mature.

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