In recent days, a mobile app capable of “striping” a person just by taking a photograph went viral. After the debate among its fans and detractors, the app was removed from all platforms; according to cybersecurity services specialists, the creators mentioned that they could not allow their idea to be used “for harmful purposes”.
The app, called DeepNude, takes image editing too far, as it contains a machine learning algorithm to remove the person from the image’s clothes just in seconds (a practice known as deepfake). The app works especially efficiently when it comes to images of women, as DeepNude neural network had records of millions of female nude images.
According to cybersecurity services specialists, the free version of the app generated fake nudes and then added a watermark to the image, so users had to pay about $50 USD to get the Premium version, with which the watermark disappeared.
To defend against the controversy generated by this app, the creators stated: “This project was born only as a form of entertainment; every month some sales were made, always in a controlled way. To be honest, the app doesn’t always work that well; you only get the expected results with a specific type of image”.
DeepNude’s popularity suddenly increased last weekend and apparently this was not a variable contemplated by the developers, as the app’s Twitter account mentioned multiple reports of failures and falls in the service. “We never thought it would go viral, we lost control of the traffic.”
However, the decision to remove the app has nothing to do with technical issues, experts in cybersecurity services mention. “Increasing the number of users also increases the likelihood that our app will be used for malicious purposes; it’s not the way we want to work,” the developers said.
Specialists from the International Institute of Cyber Security (IICS) claim that this does not necessarily end the problem, as there must already be multiple copies of DeepNude circulating around hacking forums or pirate application sites, so we could keep listening about this app in the future.
He is a well-known expert in mobile security and malware analysis. He studied Computer Science at NYU and started working as a cyber security analyst in 2003. He is actively working as an anti-malware expert. He also worked for security companies like Kaspersky Lab. His everyday job includes researching about new malware and cyber security incidents. Also he has deep level of knowledge in mobile security and mobile vulnerabilities.