An artificial intelligence (AI) system developed by a team of researchers can safeguard users from malicious actors' unauthorized facial scanning. The AI model, dubbed Chameleon, employs a unique masking approach to create a mask that conceals faces in images while maintaining the visual quality of the protected image.
Furthermore, the researchers state that the model is resource-optimized, meaning it can be used even with low computing power. While the Chameleon AI model has not been made public yet, the team has claimed they intend to release it very soon.
Researchers at Georgia Tech University described the AI model in a report published in the online pre-print journal arXiv. The tool can add an invisible mask to faces in an image, making them unrecognizable to facial recognition algorithms. This allows users to secure their identities from criminal actors and AI data-scraping bots attempting to scan their faces.
“Privacy-preserving data sharing and analytics like Chameleon will help to advance governance and responsible adoption of AI technology and stimulate responsible science and innovation,” stated Ling Liu, professor of data and intelligence-powered computing at Georgia Tech's School of Computer Science and the lead author of the research paper.
Chameleon employs a unique masking approach known as Customized Privacy Protection (P-3) Mask. Once the mask is applied, the photos cannot be recognized by facial recognition software since the scans depict them "as being someone else."
While face-masking technologies have been available previously, the Chameleon AI model innovates in two key areas:
The researchers announced their plans to make Chameleon's code publicly available on GitHub soon, calling it a significant breakthrough in privacy protection. Once released, developers will be able to integrate the open-source AI model into various applications.
Within the dynamic sphere of digital technology, businesses are continually seeking innovative solutions to streamline operations and step up their security measures. One such innovation that has garnered widespread attention is facial biometrics, a cutting-edge technology encompassing face recognition and liveness detection. This technology, now available through platforms like Auth0 marketplace, is revolutionising digital processes and significantly enhancing security protocols.
What's Facial Biometrics?
Facial biometrics operates by analysing unique facial features to verify an individual's identity. Through face recognition, it compares facial characteristics from a provided image with stored templates for authentication purposes. Similarly, face liveness detection distinguishes live human faces from static images or videos, ensuring the authenticity of user interactions. This highlights the technology's versatility, applicable across various domains ranging from smartphone security to border control measures.
Streamlining Digital Processes
One of the key benefits of facial biometrics is its ability to streamline digital processes, starting with digital onboarding procedures. For instance, banks can expedite the verification process for new customers by comparing a selfie with their provided identification documents, ensuring compliance with regulatory requirements such as Know Your Customer (KYC) norms. Moreover, facial biometrics eliminates the need for complex passwords, offering users a secure and user-friendly authentication method. This streamlined approach not only strengthens security but also improves the overall user experience.
A Step-Up In The Security Measures
Beyond simplifying processes, facial biometrics adds an additional layer of security to business operations. By verifying user identities at critical junctures, such as transaction confirmations, businesses can thwart unauthorised access attempts by fraudsters. This proactive stance against potential threats not only safeguards sensitive information but also mitigates financial risks associated with fraudulent activities.
Embracing the Future
As facial biometrics continues to gain momentum, businesses are presented with an array of opportunities to bolster security measures and upgrade user experiences. Organisations can not only mitigate risks but also explore new possibilities for growth in the digital age. With a focus on simplicity, security, and user-centric design, facial biometrics promises to redefine the future of digital authentication and identity verification.
All in all, facial biometrics represents an impactful milestone in the realm of digital security and user convenience. By embracing this technology, businesses can achieve a delicate balance between efficiency and security, staying ahead of unprecedented threats posed by AI bots and malicious actors. However, it is imperative to implement facial biometrics in a manner that prioritises user privacy and data protection. As businesses work out the digital transformation journey, platforms like Auth0 marketplace offer comprehensive solutions tailored to diverse needs, ensuring a seamless integration of facial biometrics into existing frameworks.
Millions of dollars have been fined against the corporation over and over again in Europe and Australia for privacy violations. Critics, however, argue that the police using Clearview to their aid puts everyone into a “perpetual police line-up.”
"Whenever they have a photo of a suspect, they will compare it to your face[…]It's far too invasive," says Matthew Guariglia from the Electronic Frontier Foundation.
The figure has not yet been clarified by the police in regard to the million searches conducted by Clearview. But, Miami Police has admitted to using this software for all types of crimes in a rare revelation to the BBC.
Clearview’s system enables a law enforcement customer to upload an image of a face, followed by looking for matches in a database of billions of images it has in store. It then provides links to where the corresponding images appear online. It is regarded as one of the world's most potent and reliable facial recognition companies.
The firm has now been banned from providing its services to most US companies after the American Civil Liberties Union (ACLU) accused Clearview AI of violating privacy laws. However, there seems to be an exemption for police, with Mr. Ton saying that his software is used by hundreds of police forces across the US.
Yet, the US police do not routinely reveal if they do use the software, and in fact have banned the software in several US cities like Portland, San Francisco, and Seattle.
Police frequently portray the use of facial recognition technology to the public as being limited to serious or violent offenses.
Moreover, in an interview with law enforcement about the efficiency of Clearview, Miami Police admitted to having used the software for all types of crime, from murders to shoplifting. Assistant Chief of Police Armando Aguilar said his team used the software around 450 times a year, and it has helped in solving murder cases.
Yet, critics claim that there are hardly any rules governing the use of facial recognition by police.