Lifeboat Foundation

New AI voice and video tools can look and sound like you. But can they fool your family—or bank?

WSJ’s Joanna Stern replaced herself with her AI twin for the day and put “her” through a series of challenges, including creating a TikTok, making video calls and testing her bank’s voice biometric system.

Continue reading “I Challenged My AI Clone to Replace Me for 24 Hours” »

A new study in Lancet Digital Health identifies early warning symptoms like chest pain and dyspnea that are moderately associated with imminent sudden cardiac arrest. The research suggests that future digital technologies could combine these symptoms with biometric data to more precisely predict and potentially prevent these life-threatening events.

Security Enhanced Linux (SELinux) has been part of the mainline kernel for two decades to provide a security module implementing access control security policies and is now widely-used for enhancing the security of production Linux servers and other systems. Those that haven’t been involved with Linux for a long time may be unaware that SELinux originates from the US National Security Agency (NSA). But now with Linux 6.6 the NSA references are being removed.

The United States National Security Agency worked on the original code around Security Enhanced Linux and was the primary original developer. The NSA has continued to contribute to SELinux over the years while with its increased adoption does see contributions from a wide range of individuals and organizations.

AI systems are increasingly being employed to accurately estimate and modify the ages of individuals using image analysis. Building models that are robust to aging variations requires a lot of data and high-quality longitudinal datasets, which are datasets containing images of a large number of individuals collected over several years.

Numerous AI models have been designed to perform such tasks; however, many encounter challenges when effectively manipulating the age attribute while preserving the individual’s facial identity. These systems face the typical challenge of assembling a large set of training data consisting of images that show individual people over many years.

The researchers at NYU Tandon School of Engineering have developed a new artificial intelligence technique to change a person’s apparent age in images while ensuring the preservation of the individual’s unique biometric identity.

X, formerly known as Twitter, will begin collecting users’ biometric data, according to its new privacy policy that was first spotted by Bloomberg. The policy also says the company wants to collect users’ job and education history. The policy page indicates that the change will go into effect on September 29.

“Based on your consent, we may collect and use your biometric information for safety, security, and identification purposes,” the updated policy reads. Although X hasn’t specified what it means by biometric information, it is usually used to describe a person’s physical characteristics, such as their face or fingerprints. X also hasn’t provided any details about how it plans to collect it.

The company told Bloomberg that the biometrics are for premium users and will give them the option to submit their government ID and an image in order to add a verification layer. Biometric data may be extracted from both the ID and image for matching purposes, Bloomberg reports.

The company said it may also use user data to train A.I. models.

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Are biometric authentication measures no longer safe? Biometric authentication expert says deepfake videos and camera injection attacks are changing the game.

Biometrics authentication is getting more and more popular due to it being fast, easy, and smooth for the user, but Stuart Wells, CTO at biometrics authentication company Jumio, thinks this may be risky.

Additionally, iProov reveals a 295 percent yearly increase in biometric attacks that use novel face swaps. Using this technique, attackers generate synthetic images with AI, either replacing the face of the victim with a video of him to bypass liveness checks or with the face of the attacker itself.

But beyond deep fakes and other more rudimentary presentation attacks where identities are spoofed using masks or other presentation techniques, another type of attack is gaining ground: digital injection.

Company’s offer of $60 along with proof you aren’t a robot has hidden risks. Why trust a private enterprise with your biometric data?