Connect with us

News

Scientists create AI neural net that can unlock digital fingerprint-secured devices

Fingerprint scan. | Credit: RCPA

Published

on

Computer scientists at New York University and Michigan State University have trained an artificial neural network to create fake digital fingerprints that can bypass locks on cell phones. The fakes are called “DeepMasterPrints”, and they present a significant security flaw for any device relying on this type of biometric data authentication. After exploiting the weaknesses inherent in the ergonomic needs of cellular devices, DeepMasterPrints were able to imitate over 70% of the fingerprints in a testing database.

An artificial neural network is a type of artificial intelligence comprising computer algorithms modeled after the human brain’s ability to recognize patterns. The DeepMasterPrints system was trained to analyze sets of fingerprint images and generate a new image based on the features that occurred most frequently. This “skeleton key” could then be used to exploit the way cell phones authenticate user fingerprints.

In cell phones, the necessarily small size of fingerprint readers creates a weakness in the way they verify a print. In general, phone sensors only capture a partial image of a print when a user is attempting to unlock the device, and that piece is then compared to the phone’s authorized print image database. Since a partial print means there are fewer characteristics to distinguish it than a full print, a DeepMasterPrint needs to match fewer features to imitate a fingerprint. It’s worth noting that the concept of exploiting this flaw is not unique to this particular study; however, generating unique images rather than using actual or synthesized images is a new development.

An overview of the DeepMasterPrint system. | Credit: IEEE

The team involved in the study resulting in the DeepMasterPrint creation initiated it as part of the ongoing assessment of vulnerabilities in fingerprint recognition systems. Finding exploitable flaws and fixing them is a constant battle in all digital systems with a security component. With this reality in mind, the scientists determined that merely exposing the flaws of fingerprint systems would not provide an effective solution; a working example of how attacks could be executed provides more specific data for researchers to design around and protect against. Creating the DeepMasterPrint system was meant to address this need.

The results revealed by the DeepMasterPrint system are concerning for anyone relying on fingerprint authentication on their smartphones. Scientists compared the generated fake prints against templates generated by VeriFinger 9.0 SDK, Bozorth3, and Innovatrics IDKit 5.3 SKD, all of which are software systems used in fingerprint authentication systems worldwide. At a low false match rate, i.e., strict match requirements for authentication, the fake print generated by DeepMasterPrint could imitate 23% of the fingerprints in the test database. At a slightly higher false match rate that was still within standard phone authentication limits, the fake print imitated 77% of the test fingerprints.

Real fingerprints on the left vs. DeepMasterPrint generated fingerprints on the right. | Credit: IEEE

The scientists in this study did not create physical fingerprints to try and unlock actual phones, leaving that work to be done in the near future. However, even though the successful DeepMasterPrints have yet to be tested in true applications rather than a virtual environment, the data gathered confirmed the initial security concerns which inspired the experiment. Fingerprints are being used as identity verification in a growing number of applications beyond cell phone security, i.e., unlocking entryways, payment authentication, etc. The DeepMasterPrint system is another tool to help researchers guard their security as biometric authentication continues to expand.

Advertisement
-->

Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

Advertisement
Comments

News

Czech Deputy excited for Tesla FSD, hints at Transport Committee review

The ANO party lawmaker shared his thoughts about FSD in a post on social media platform X.

Published

on

Credit: @BLKMDL3/X

Martin Kolovratník, a Czech Republic Chamber of Deputies member, has expressed his excitement for Tesla’s Full Self-Driving (FSD) after an apparent constituent called for a quick approval for the advanced safety system.

The ANO party lawmaker, who drives both diesel and EV, shared his thoughts about the matter in a post on social media platform X.

The official’s initial statements

Kolovratník kicked off the exchange with a post outlining his coalition’s efforts to scrap highway toll exemptions for electric vehicles and plug-ins starting in 2027. 

“Times have changed. Electric vehicles are no longer a fringe technology, but a full-fledged part of operations. And if someone uses the highway network, they should follow the same rules as everyone else. That’s the basis of fairness,” he wrote.

He emphasized equity over ideology, noting his personal mix of diesel and electric driving. “For this reason, there is no reason to continue favoring one technology at the expense of another… It’s not about ideology, it’s about equal conditions. That’s why we clearly agreed within the new coalition: the exemption for electric vehicles and plug-ins will end in 2027. The decision is predictable, understandable, and economically sound.”

Advertisement
-->

Tesla FSD enthusiasm

The conversation pivoted to Tesla’s FSD when X user @robotinreallife, who seems to be one of the official’s constituents, replied that other matters are more important than ending highway exemptions for EVs. 

“I’m happy to pay for the highway, but I have a question about a much more fundamental matter: The Netherlands will approve the operation of Tesla FSD in February 26, a technology that has been proven to reduce accidents. The Czech Republic has the option to immediately recognize this certification. Do you plan to support this step so that we don’t unnecessarily delay?” the X user asked. 

Kolovratník responded promptly, sharing his own excitement for the upcoming rollout of FSD. “I know about it. I like it and it seems interesting to me. Once we set up the committees and subcommittees, we’ll open it right away in that transport one. Thanks for the tip, I’ll deliver the report,” the official noted in his reply on X. 

Kolovratník’s nod to FSD hints at the system’s potentially smooth rollout to Czechia in the coming year. With the Netherlands possibly greenlighting FSD (Supervised) in early 2026, Kolovratník’s commitment could accelerate cross-border certification, boosting FSD’s foray into Europe by a notable margin.

Advertisement
-->
Continue Reading

News

Tesla Model 3 named New Zealand’s best passenger car of 2025

Tesla flipped the switch on Full Self-Driving (Supervised) in September, turning every Model 3 and Model Y into New Zealand’s most advanced production car overnight.

Published

on

Credit: Tesla Asia/X

The refreshed Tesla Model 3 has won the DRIVEN Car Guide AA Insurance NZ Car of the Year 2025 award in the Passenger Car category, beating all traditional and electric rivals. 

Judges praised the all-electric sedan’s driving dynamics, value-packed EV tech, and the game-changing addition of Full Self-Driving (Supervised) that went live in New Zealand this September.

Why the Model 3 clinched the crown

DRIVEN admitted they were late to the “Highland” party because the updated sedan arrived in New Zealand as a 2024 model, just before the new Model Y stole the headlines. Yet two things forced a re-evaluation this year.

First, experiencing the new Model Y reminded testers how many big upgrades originated in the Model 3, such as the smoother ride, quieter cabin, ventilated seats, rear touchscreen, and stalk-less minimalist interior. Second, and far more importantly, Tesla flipped the switch on Full Self-Driving (Supervised) in September, turning every Model 3 and Model Y into New Zealand’s most advanced production car overnight.

FSD changes everything for Kiwi buyers

The publication called the entry-level rear-wheel-drive version “good to drive and represents a lot of EV technology for the money,” but highlighted that FSD elevates it into another league. “Make no mistake, despite the ‘Supervised’ bit in the name that requires you to remain ready to take control, it’s autonomous and very capable in some surprisingly tricky scenarios,” the review stated.

Advertisement
-->

At NZ$11,400, FSD is far from cheap, but Tesla also offers FSD (Supervised) on a $159 monthly subscription, making the tech accessible without the full upfront investment. That’s a game-changer, as it allows users to access the company’s most advanced system without forking over a huge amount of money.

Continue Reading

News

Tesla starts rolling out FSD V14.2.1 to AI4 vehicles including Cybertruck

FSD V14.2.1 was released just about a week after the initial FSD V14.2 update was rolled out.

Published

on

Credit: Grok Imagine

It appears that the Tesla AI team burned the midnight oil, allowing them to release FSD V14.2.1 on Thanksgiving. The update has been reported by Tesla owners with AI4 vehicles, as well as Cybertruck owners. 

For the Tesla AI team, at least, it appears that work really does not stop.

FSD V14.2.1

Initial posts about FSD V14.2.1 were shared by Tesla owners on social media platform X. As per the Tesla owners, V14.2.1 appears to be a point update that’s designed to polish the features and capacities that have been available in FSD V14. A look at the release notes for FSD V14.2.1, however, shows that an extra line has been added. 

“Camera visibility can lead to increased attention monitoring sensitivity.”

Whether this could lead to more drivers being alerted to pay attention to the roads more remains to be seen. This would likely become evident as soon as the first batch of videos from Tesla owners who received V14.21 start sharing their first drive impressions of the update. Despite the update being released on Thanksgiving, it would not be surprising if first impressions videos of FSD V14.2.1 are shared today, just the same.

Advertisement
-->

Rapid FSD releases

What is rather interesting and impressive is the fact that FSD V14.2.1 was released just about a week after the initial FSD V14.2 update was rolled out. This bodes well for Tesla’s FSD users, especially since CEO Elon Musk has stated in the past that the V14.2 series will be for “widespread use.” 

FSD V14 has so far received numerous positive reviews from Tesla owners, with numerous drivers noting that the system now drives better than most human drivers because it is cautious, confident, and considerate at the same time. The only question now, really, is if the V14.2 series does make it to the company’s wide FSD fleet, which is still populated by numerous HW3 vehicles. 

Continue Reading