Faked nude images of more than , women have been created from social media pictures and shared online, according to a new report. Clothes are digitally removed from pictures of women by Artificial Intelligence AI , and spread on the messaging app Telegram. Some of those targeted "appeared to be underage", the report by intelligence company Sensity said. Deepfakes are computer-generated, often realistic images and video, based on a real template. One of its uses has been to create faked pornographic video clips of celebrities.
Thousands of fake naked women photos shared online
Naked ‘deepfake’ photos of thousands of women shared online | The Independent
You are not permitted to download, save or email this image. Visit image gallery to purchase the image. More than , women have had their clothes digitally removed from images. Photo: Getty Unidentified cyber criminals have rolled out a service that allows anyone to create fake nude images of women from a regular photograph, a cyber research agency tracking deepfakes said in a report released on Tuesday, uncovering a growing ecosystem that has already targeted at least , women and threatens to open a new front in online sexual abuse. A deepfake is any manipulated media created by an artificial intelligence technique called deep learning.
Fake naked photos of thousands of women shared online
Deepfake photos and videos often appear credible to the average viewer, prompting concerns by researchers and lawmakers about their potential to mislead the public, especially in the run-up to the election. Soon, it will be hard to debunk digital impersonations in time to prevent significant damage. The technology is cheap and easily accessible, and the chances for use are limitless.
The research revealed that anyone can send the bot a photo through the Telegram mobile or web app and receive a nude back within minutes. Sensity AI highlighted a strong geographical skew among users in these channels, with roughly 70 per cent coming from Russia and neighbouring countries, and that the primary targets were women from Argentina, Italy, Russia and the US. The findings also alluded to the broader threats that the bot presented.