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You ask them questions, attempting to understand. There is something off about their answers, which are either vague or out of character, and sometimes there is a peculiar delay, almost as though they were thinking a little too slowly. Yet, you are certain that it is definitely your loved one speaking: That is their voice you hear, and the caller ID is showing their number. Chalking up the strangeness to their panic, you dutifully send the money to the bank account they provide you.

Even worse, chatbots like ChatGPT are starting to generate realistic scripts with adaptive real-time responses. By combining these technologies with voice generation, a deepfake goes from being a static recording to a live, lifelike avatar that can convincingly have a phone conversation.

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Crafting a compelling high-quality deepfake, whether video or audio, is not the easiest thing to do. It requires a wealth of artistic and technical skills, powerful hardware and a fairly hefty sample of the target voice.

With all that said, we at the DeFake Project of the Rochester Institute of Technology, the University of Mississippi and Michigan State University, and other researchers are working hard to be able to detect video and audio deepfakes and limit the harm they cause. There are also straightforward and everyday actions that you can take to protect yourself.

Here is another piece of advice: know yourself. Specifically, know your intellectual and emotional biases and vulnerabilities. This is good life advice in general, but it is key to protect yourself from being manipulated. Scammers typically seek to suss out and then prey on your financial anxieties, your political attachments or other inclinations, whatever those may be.

This alertness is also a decent defense against disinformation using voice deepfakes. Deepfakes can be used to take advantage of your confirmation bias, or what you are inclined to believe about someone.

A new system, using the hot new neural technique of Gaussian Splatting, offers a CGI-style full-body recreation of people in a neural space, and opens up the possibility for complete deepfaked humans, rendered in real time.

Deepfake Audio includes two types of speech processing techniques: speech synthesis and voice conversion. Speech synthesis typically aims to convert a text to speech and is well deployed in real world applications like smart devices and voice assistants (e.g. Siri, Amazon Echo, Google Home), and more recently to help individuals who lost their voices.

Additionally, the detection of wideband deepfake audio has been the focus of the research community where academic and industrial competitions such as the ASVspoof were conducted since 2015, and where Pindrop technologies always showcase high performance and good generalization ability.

While the task of detecting deepfake audio on wideband audio is still hard, particularly when it comes to newer and more sophisticated attacks, the problem is significantly more challenging for narrowband call center audio signals. With a Shannon frequency of only 4 kHz (half of the sampling rate), a good portion of the relevant information narrowband audio is missing, making the discriminative ability of the standard models much more reduced.

According to Kirsch, the of yet unidentified fraudster called the company three times: the first to initiate the transfer, the second to falsely claim it had been reimbursed, and a third time seeking a followup payment. It was at this point that the victim grew skeptical; he could see that the purported reimbursement had not gone through, and he noticed that the the call had been made from an Austrian phone number.

"If one of us ever called for help they would drop everything to go help the kids. So they went off and got $9,800, and later that day as my father was on the phone speaking with the lawyer again, a young man came to the door to collect the money."

"Something didn't add up. Dad realized something was not right," she said. Grenfell Letto decided to call his son's wife. "Sure enough she said, 'What are you talking about?' and that's where it all unfolded," said Crane.

No one has been charged in relation to what happened to the Lettos but the scam they described is similar to other cases that have recently led to charges in St. John's. There have also been similar reports in other provinces of this type of scam, in which a person who sounds convincingly like a relative calls looking for financial aid. Police believe a criminal network is responsible for targeting seniors across Canada.

"You can clone someone's voice, and given the ability to do that, it's not at all surprising that somebody would do that for nefarious purposes," Anderson said. "It's going to be more effective, especially while people get used to the fact that deepfake voices are a thing, and they are easily obtainable and easily accessible."

As AI technology advances, the rise of deepfakes poses an ever-evolving threat. These manipulated images, videos, and audios use artificial intelligence to create convincing but false representations of people and events.

Of particular concern is voice spoofing, also known as voice cloning, which uses AI to create a realistic-sounding recording of someone's voice. Fraudsters have used voice deepfakes to replicate familiar voices, such as a relative or a bank representative, tricking consumers into parting with money or providing sensitive information.

"Consumers should be cautious of unsolicited calls saying a loved one is in harm or messages asking for personal information, particularly if they involve financial transactions," says Vijay Balasubramaniyan, co-founder and CEO of Pindrop, a voice authentication and security company that uses artificial intelligence to protect businesses and consumers from fraud and abuse.

Consumers should also listen carefully to the voice on the other end of the call. If the voice sounds artificial or distorted in any way, it could be a sign of a deepfake. They should also be on the lookout for any unusual speech patterns or unfamiliar accents.

If you receive a phone call or message that seems out of character for the person you know or the organization contacting you, it could be a sign of a deepfake attack. Especially if you are subjected to emotional manipulation and high-pressure tactics that are trying to compel you to help the caller, hang up and independently call back the contact using a known phone number.

Consumers should ask the caller to provide personal information or to verify their identity using a separate channel or method, such as an official website or an email. This can help to confirm that the caller is who they claim to be and reduce the risk of fraud.

Consumers should keep up-to-date with the latest developments in voice deepfake technology and how fraudsters use it to commit scams. By staying informed, you can better protect yourself against potential threats. The FTC lists the most common phone scams on their website.

For years, a common scam has involved getting a call from someone purporting to be an authority figure, like a police officer, urgently asking you to pay money to help get a friend or family member out of trouble.

The Federal Trade Commission issued a consumer alert this week urging people to be vigilant for calls using voice clones generated by artificial intelligence, one of the latest techniques used by criminals hoping to swindle people out of money.

A deepfake is made using a technique called facial reenactment. The technique involves using AI to map the facial movements of one person onto the face of another via audio or video recording. The process can been achieved convincingly, which makes it hard to recognise whether call recording is real or fake.

Be suspicious of any calls from anyone you don't know or you don't expect a call from. If someone claims to be a friend or is known to you but you are not sure of the person's identity, then ask a personal question to verify.

Nowadays, people usually opt for video calls to have a conversation with their family, friends, or colleagues across the world. You are completely aware of the person's face, voice, and surroundings, but what if you see something unusual during the video call like a different background, video size, video quality, any watermark, contact information, etc? Be aware! you can be defrauded.

Yes! The growing technology, especially artificial intelligence, has made it more convincing for fraudsters to dupe innocent people's money globally. A similar incident took place in northern China where a man found himself the victim of a AI-driven video call scam involving deepfake technology.

Hence, the question arises of how to spot a fake video call. There are some tricks to skirt these issues like fake contact number, fake names, unusual background, etc. Take a look at the small signs regarding a fake video call,

2) Contact information: One should check if the person calling you on your contact list or does the name mean anything to you. Also, you need to be sure of the contact name appearing on the video call and the contact information.

3) Video sizing: You need to resize the video to fit the webcam window, if a person is doing a fake video call. This action can distort the video proportions and it looks out of shape.

In the light of uptick in AI-based scams in India, individuals are advised to remain vigilant and exercise caution during video or even voice calls. A recent study indicated that India is the country with the highest number of victims, with 83% of Indians losing their money in such fraudulent activities.

Over the past few years, deepfake technology has become a problem for people. It is a form of artificial intelligence technology that creates realistic but fake videos. It can be applied to video or image manipulation.

The process of deepfake technology begins with collecting visual and audio data about the target individual through publicly available information such as social media appearances. Then, the data is used to train a deep learning model to mimic the target person of the deepfake. e24fc04721