Which the neural network identified

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JoyuntoExpate
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Joined: Sat Feb 11, 2023 8:23 am

Which the neural network identified

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There are examples of gender discrimination: for example, a neural network that draws a body in a bikini for a female photo, and a suit for a male photo. Simply because most of the images on the web are just that. During protests in London in March , participants tried to fool facial recognition systems with colored patches on their faces. Videomax specialists tried to deceive the Face-Intellect algorithm. They found that this was only possible by wearing a long-haired wig and a headdress, sticking band-aids and a mustache, and painting bruises at the same time. In this case, the identification accuracy dropped to.

Vietnamese developers managed to hack the Face ID feature on the iPhone consumer email list using a D mask, silicone and tape. But not everyone can repeat their method. Adversarial examples : when special stickers , three-dimensional figures or paintings are placed next to an object that confuse the neural network. However, all these methods are unlikely to help. Firstly, we do not fully know by what signs neural networks recognize faces. Secondly, algorithms are trained according to different schemes and on different datasets. To deceive them, you need to know exactly how a particular neural network works. You can, of course, completely hide your face in public places and at mass events. But in many countries - including Russia and China - it is prohibited by law . There are ways to help change the already finished photos.

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For example Generated Media created Anonymizer an application that generates a series of portraits based on your photos and makes them unrecognizable to neural networks. You can use a special mask. For example, let's take a photo in the actress Eva Longoria and change it a bit: How is facial recognition regulated in different countries? The EU and the UK have the most stringent data protection regulation, the GDPR. It prohibits any encroachment on a person's privacy by private companies and government agencies without his consent.
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