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Facia.ai
Company
About us Facia empowers businesses globally with with its cutting edge fastest liveness detection
Campus Ambassador Ensure countrywide security with centralised face recognition services
Events Facia’s Journey at the biggest tech events around the globe
Innovation Facia is at the forefront of groundbreaking advancements
Sustainability Facia’s Mission for a sustainable future.
Careers Facia’s Journey at the biggest tech events around the globe
ABOUT US
Facia is the world's most accurate liveness & deepfake detection solution.
Facial Recognition
Face Recognition Face biometric analysis enabling face matching and face identification.
Photo ID Matching Match photos with ID documents to verify face similarity.
(1:N) Face Search Find a probe image in a large database of images to get matches.
DeepFake
Deepfake Detection New Find if you're dealing with a real or AI-generated image/video.
Detect E-Meeting Deepfakes Instantly detect deepfakes during online video conferencing meetings.
Liveness
Liveness Detection Prevent identity fraud with our fastest active and passive liveness detection.
Single Image Liveness New Detect if an image was captured from a live person or is fabricated.
More
Age Verification Estimate age fast and secure through facial features analysis.
Iris Recognition All-round hardware & software solutions for iris recognition applications.
Complete playbook to understand liveness detection industry.
Read to know all about liveness detection industry.
Industries
Retail Access loyalty benefits instantly with facial recognition, no physical cards.
Governments Ensure countrywide security with centralised face recognition services
Dating Apps Secure dating platforms by allowing real & authentic profiles only.
Event Management Secure premises and manage entry with innovative event management solutions.
Gambling Estimate age and confirm your customers are legitimate.
KYC Onboarding Prevent identity spoofing with a frictionless authentication process.
Banking & Financial Prevent financial fraud and onboard new customers with ease.
Contact Liveness Experts To evaluate your integration options.
Use Cases
Account De-Duplication (1:N) Find & eliminate duplicate accounts with our face search.
Access Control Implement identity & access management using face authorization.
Attendance System Implement an automated attendance process with face-based check-ins.
Surveillance Solutions Monitor & identify vulnerable entities via 1:N face search.
Immigration Automation Say goodbye to long queues with facial recognition immigration technology.
Detect E-Meeting Deepfakes New Instantly detect deepfakes during online video conferencing meetings.
Pay with Face Authorize payments using face instead of leak-able pins and passwords.
Facial Recognition Ticketing Enter designated venues simply using your face as the authorized ticket.
Passwordless Authentication Authenticate yourself securely without ever having to remember a password again.
Meeting Deepfake Detection
Know if the person you’re talking to is real or not.
Resources
Blogs Our thought dumps on all things happening in facial biometrics.
News Stay updated with the latest insights in the facial biometrics industry
Whitepapers Detailed reports on the latest problems in facial biometrics, and solutions.
Webinar Interesting discussions & debates on biometrics and digital identity.
Case Studies Read how we've enhanced security for businesses using face biometrics.
Press Release Most important updates about our activities, our people, and our solution.
Mobile SDK Getting started with our Software Development Kits
Developers Guide Learn how to integrate our APIs and SDKs in your software.
Knowledge Base Get to know the basic terms of facial biometrics industry.
Most important updates about our activities, our people, and our solution.
Buyers Guide
Complete playbook to understand liveness detection industry
In This Post
Digital technologies make it complicated to differentiate between fake and real media, and the most recent development causing the problem is the rise of deepfakes. These hyper-realistic AI-generated videos can make someone appear to be saying or doing anything, potentially causing significant harm.
Deepfakes spread like wildfire on social media platforms like Facebook and YouTube, due to their speed and reach. This can have a negative impact on society as a whole, but especially on targeted celebrities. As artificial intelligence (AI) tools become more accessible, both visual and voice-based celebrity deepfakes are becoming increasingly common.
Unfortunately, celebrities are prime targets for non-consensual deepfakes due to the wealth of personal information available online about them. These malicious deepfakes can cause significant reputational damage and even financial loss for the targeted celebrities. They can be used for malicious purposes like spreading misinformation in targeted advertising or creating fake videos. Cases involving celebrities like Taylor Swift, Tom Hanks, and even the late Morgan Freeman highlight the pervasiveness of this issue.
Deepfakes leverage artificial intelligence (AI), specifically deep learning techniques, to create manipulated media that appears real. This technology can seamlessly blend, merge, replace, and superimpose video clips and images, generating deepfake videos of individuals saying or doing things they never did.
Celebrity deepfakes, a prominent and concerning application of this technology, target famous figures. With the vast amount of online data available about celebrities, they are particularly vulnerable to having their likenesses misused. These deepfakes can be used for a variety of purposes, including creating humorous content, spreading political misinformation, or even producing pornographic content – all without the consent of the person depicted.
The concerning aspect of deepfakes is their accessibility. The growing sophistication of AI tools allows nearly anyone to create ai deepfakes (audio, video, and images) that are difficult to distinguish from genuine footage.
This ability to manipulate reality digitally poses a significant threat to the reputations of public figures, including influencers, celebrities, and politicians, who are frequent targets due to their high online profiles.
Celebrity deepfake is trending on social media platforms such as Facebook and YouTube, which seems to be harmless and artistic work. Among many examples of AI deepfake, one is revenge porn and non-political or political influencing. Scammers usually focus on politicians, corporate leaders, and celebrities, as social media are full of images and videos that are enough to make their deepfakes. Many are pranks, funny memes, and goofs with satirical or comedic effects.
For example, Nicolas Cage acts in movies like Terminator 2 or Indiana Jones in a movie he never made. In another celebrity deepfake video, Alden Ehrenreich was replaced with Harrison Ford, taken from A Star Wars Story. Some dead celebrity deepfakes, such as band Queen’s ex-vocalist Freddie Mercury’s face, were placed on actor Rami Malek’s.
AI allows everyone to make up images, and it’s harder to tell if they are real or fake. That’s what happened in late January with Taylor Swift, as her counterfeit images were gushed at social media. Many people widely shared her images without knowing if they were fake, drawing everyone’s attention.
X, formerly recognised as Twitter, posted that they are working on removing all Taylor Swift images and will take legal action against those who published them.
One Taylor post on X remained for at least 17 hours, having more than 45 million views, forcing X to take action and block all content with a return notification: “Something went wrong, Try again”. This incident also drew the attention of the White House, urging Congress to consider legislation to punish abusive and fake images online.
Tom Hanks warned his fans about deepfake advertisements made without his consent. He shared an advertisement on Instagram that falsely portrayed him, not revealing the complete identity of someone who made the dental ad.
Tom Hanks talked about deepfake technology during a podcast with “The Adam Buxton” and said he got to know about AI when he was producing an animated film,“ The Polar Express”, in 2004.
“We saw that there was going to be this ability in order to take zeros and ones inside a computer and turn it into a face and a character,” he said at the time. “Now, that has only grown a billion-fold since then, and we see it everywhere.” Tom Hanks
In Hong Kong, a finance employee at a multinational company was scammed through a deepfake of a CFO asking for $25 million. At first, he thought that it could be a scam, but he transferred a huge amount of money after seeing many company employees on a video call.
Those employees were actually a deepfake presentation of employees, according to police. “(In the) multi-person video conference, it turns out that everyone [he saw] was fake,” senior superintendent Baron Chan Shun-ching told the city’s public broadcaster RTHK.
In social media posts, Jennifer Aniston sells a MacBook for only $10. How? The MacBook isn’t as cheap as she is selling. Oprah Winfrey, Elon Musk, and Kylie Jenner provide investment opportunities and product giveaways. However, everyone knows that their voices were played over real celebrity clips. Scammers attempt to damage the authenticity of famous websites such as New York by making their deepfake. All comes under cloning, where the voice of any famous personality is used to deceive others.
Deepfakes are a growing problem, targeting celebrities from all walks of media and entertainment. here list of celebrities:
The following states have set laws and remedies for non-consensual deepfake:
In 2022, Florida passed a law restricting the dissemination of deepfake images by saying that it’s a third-degree crime with a maximum of 5 years of jail, five years probation, and a $5000 fine.
California state made a law in 2020 allowing deepfake victims to sue scammers who made and shared content without individual consent. They have a fine of $150,000 if the deepfake detection proves accurate and contains malicious content.
Hawaii made a law against deepfake that states the disclosure, intentional creation, and threat of disclosure of sexually deepfake videos or images. It’s also a C-Class felony and punishable by more than five years in jail and a fine of up to $10,000.
Georgia banned the digital dissemination of counterfeit images or videos in 2020.
In 2023, Minnesota state prohibited making sexual deepfakes and their usage in elections. Its distributor of images or videos will face a fine of $10,000 and 5 years in prison.
Nonconsensual and sexual deepfakes are punishable by one year in jail and a fine of $4000, according to the 2023 rule.
New York prohibited the distribution of sexual and pornographic pictures made by using AI, resulting in a $1000 fine and one year jail.
In 2019, Virginia passed a law related to revenge porn as a part of existing law about “falsely make still or videographic image. Sharer has to pay a $2500 fine or spend one year in jail.
Illinois state amendment law was made in 2015 to help victims of revenge porn. The law states that victims can sue the ones who made counterfeit images or videos.
In 2022, South Dakota made a Class 1 misdemeanour to make deepfake pornography of a victim, specifically when the target is below 17 and the preparator is mature. The sharer is punishable for two years and a fine of $4000.
Deepfakes threaten society, businesses, celebrities, and politicians, which can be hindered through regulation, legislation, voluntary action, training, education, and technological development such as facia- a pioneer in face recognition technology that takes less than one second to verify the user.
Celebrity deepfakes are common nowadays as scammers take advantage of technological advancement. Politicians and celebrities often have exclusive events or restricted access areas. Facia’s deepfake detection technology controls access and ensures only trusted staff can enter the premises.
Facia helps identify threats and people with harmful intentions during concerts, public appearances, and events. Influencers can implement liveness detection features to recognise and give a response to security threats quickly. To prevent deepfakes, face recognition can be implemented to regulate and monitor the usage of surveillance cameras in public places to restrict non-consensual image capturing.
Don’t fall for Deepfake attacks; take action now by availing of our services! Talk to our experts.
How Biometric Liveness Detection Shields Businesses from Deepfakes
It depends. Currently, there are no federal laws in the United States that specifically criminalize creating deepfakes. However, several states have passed laws against creating and distributing non-consensual deepfakes, particularly those of a sexual nature (revenge porn). These laws vary in their specifics.
Yes, sharing deepfakes, while not explicitly illegal, can result in lawsuits. If they damage someone's reputation or cause financial loss, this can lead to civil liability for tortious interference or fraud. Additionally, some states permit victims to sue for emotional distress caused by deepfakes.
Yes. Despite their increasing sophistication, deepfakes are detectable. Companies like Facia, which has its own deepfake detection technology, use advanced techniques (machine learning algorithms) to spot manipulation in videos and images.
Here are some tips:
Tracking the origin of a deepfake is challenging but possible. Law enforcement agencies use digital forensics techniques like analyzing the metadata of the video or image file, tracing IP addresses, or identifying unique digital signatures left behind by the deepfake creation process, particularly if used for criminal purposes.
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