Face Recognition Security Controversially Controversial by American Scientists

Scientific and technological developments in recent years, biometrics receiving unprecedented attention in financial applications and the Internet, and face recognition are being widely used in government, military, banking, social welfare and security, e-commerce, security, defense and other fields, financial and Internet giant Have increased facial recognition. Since last year, Alibaba and Tencent have successively launched brush face payment plans. On March 26 this year, Beijing’s 2016 college high-level sports team recruited a unified test for the first time to use face recognition technology to verify candidates. Identity. It is foreseeable that with the maturity of technology and people's requirements for privacy information and security are getting higher and higher, face recognition technology will be widely used in related fields.

However, there is still great controversy regarding the security and reliability of face recognition technology. Recently, a research team from the University of North Carolina used a few pictures to vote for face recognition.

According to foreign media reports, a research team from the University of North Carolina recently used a number of photos collected on social media (Facebook) to generate a flat 3D model on a mobile phone using special computer compositing and rendering techniques. . They then used this model to test and found that up to 4/5 of the tested security systems could be easily defrauded from 55% to 85% of the measured time. More importantly, the photos they can collect on Facebook are very limited, and their quality is not guaranteed. Some of them are only 45-degree-angled faces.

According to the team’s introduction, just like real hackers and stalkers, they collected a total of 20 volunteers’ photos posted on social media, and then made facial 3D models of each volunteer based on these photos, adding facial expressions and Blinking eyes and other small movements make the model look like staring at the camera. More crucially, because the quantity and quality of photographs cannot be guaranteed, scientists have also had to “man-made” some of the information lost in photographs, such as shadows in the photographs, folds in facial expressions, etc. The most extreme example is that several volunteers only published two or three photos on social media and the pixels were still very low.

On how to avoid hackers using similar means to obtain user data, a researcher at the team stated at Usenix Security Conference: At present, some vendors can already use additional hardware devices to avoid similar situations. For example, Tobii Company faces Microsoft Windows Hello faces. Recognition system launched eye tracking camera. But at present, this way of adding additional hardware may increase the cost of the security system, whether consumers can accept it, and manufacturers must further consider.

In addition, the real face will emit infrared radiation, and the photo or 3D model will not be true or false. Using this idea, you can also do some evasive measures in safety, to prevent hackers from using similar methods for malicious attacks.

(Original title: Face recognition is not safe. American scientists crack it with a few photos)

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