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Deepfake Porn Vk
When we talk about deepfakes , the term used to describe a type of digitally manipulated videos, most of the discussion is focused on the implications of deepfake technology for spreading fake news and potentially even destabilizing elections , particularly the upcoming U.S. 2020 election. A new study from Deeptrace Labs, however, a cybersecurity company that detects and monitors deepfakes, suggests that the biggest threat posed by deepfakes has little to do with politics at all, and that women all over the world may be at risk.
According to the study, which was released Monday, the vast majority of deepfakes on the internet — nearly 96% — are used in nonconsensual porn , meaning that they feature the likenesses of female subjects without their consent. Additionally, the study sheds light on who, exactly, is most often being featured in such content. Although the majority of pornographic deepfake subjects (41%) are of British or American actresses, nearly one-quarter (25%) of the women targeted are of South Korean descent and are classified by the researchers as South Korean musicians or K-pop singers. (The researchers chose not to name the individuals most-often targeted by pornographic deepfakes out of concern for their privacy.)
The overrepresentation of K-pop musicians speaks to the increasingly “global” reach of deepfakes, says Henry Ajder, head of research analysis for Deeptrace Labs. Indeed, in a Twitter thread, Deeptrace CEO Giorgio Patrini said in July that K-pop deepfakes have long been an “early trend” in AI, and are most often though not exclusively used in pornographic deepfakes.
K-pop stars are likely so overrepresented due to the explosive global popularity of K-pop in general, with estimates suggesting that the rise of bands like BTS and Blackpink have led to it becoming a more than $5 billion global industry; the fact that pornography is illegal in South Korea , with nearly all online pornography websites currently blocked by the government, also probably plays a role.
Interestingly, Ajder says, the data shows that the majority of users in the online forums generating deepfakes aren’t from South Korea, but China, which plays host to one of the biggest K-pop markets in the world. This is in spite of diplomatic relations between the two countries being strained in recent years, with major Korean artists being unable to perform in China since 2016.
It could be argued that the unique form of sexualization to which female K-pop musicians are subjected — while many are not allowed to date or speak openly about their sex lives, at least one study has shown that they are sexually objectified far more often than their male counterparts — may be contributing to why they are disproportionately being portrayed in deepfakes. “I do wonder if the creation of deepfake images of K-pop idols are done by their anti-fans,” says Hye Jin Lee, PhD, clinical assistant professor at the Annenberg School for Communication and Journalism at the University of Southern California, whose academic interests include K-pop and global culture. “Considering that K-pop is all about image (particularly for female K-pop idols whose squeaky-clean image is a must to maintain their reputation), nothing would bring greater satisfaction to [male] anti-fans …than tarnishing the reputation of the K-pop idols and humiliating them in the process.”
Deepfakes in general are still relatively difficult to make, requiring a certain level of coding proficiency and fairly high-grade computer hardware, says Ajder. Yet the rise of businesses and services catering to those interested in deepfakes — essentially, by allowing users to submit an image of a person, then generating a video with the person’s head on a pornographic actress’s body — has helped to “increase accessibility” of deepfake technology for those making nonconsensual porn, says Ajder.
“Deepfakes started off as synonymous with deepfake pornography,” Ajder tells Rolling Stone . “The dialogue has certainly changed to include a lot more things: cybercrime, synthetic impersonation for things like fraud and hacking. The conversation has diversified and I think rightly so … But [deepfake] porn is still the most impactful and damaging area that we can tangibly measure.”
This, ultimately, is the major takeaway from the Deeptrace Labs study: Despite our fears of our political processes being undermined by this new and terrifying technology (and despite federal and state legislation increasingly being introduced to combat this threat), it is still used more often as a way to humiliate and subjugate women than any other fashion.
“We recognize there is significant potential [for deepfakes] to cause political disruption and endanger the political processes,” says Ajder, adding that the Deeptrace study cites numerous examples in other countries like Gabon and Malaysia where the mere question as to whether video footage was digitally manipulated threw national political discourse into tumult. But the data makes clear that “deepfakes are already harming thousands of women online. This is hurting people in a different way,” says Ajder.
Update Tues., Oct. 8, 2019, 12:01 p.m.: This story has been updated to include comment from Hye Jin Lee, PhD.
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It sounds like an episode of Black Mirror but the deepfake porn epidemic we’re living through is scarily real. Jennifer Savin investigates how fake nudes are destroying lives…
I’m looking at a picture of my naked body, leaning against a hotel balcony in Thailand. My denim bikini has been replaced with exposed, pale pink nipples – and a smooth, hairless crotch. I zoom in on the image, attempting to gauge what, if anything, could reveal the truth behind it. There’s the slight pixilation around part of my waist, but that could be easily fixed with amateur Photoshopping. And that’s all.
Although the image isn’t exactly what I see staring back at me in the mirror in real life, it’s not a million miles away either. And hauntingly, it would take just two clicks of a button for someone to attach it to an email, post it on Twitter or mass distribute it to all of my contacts. Or upload it onto a porn site, leaving me spending the rest of my life fearful that every new person I meet has seen me naked. Except they wouldn’t have. Not really . Because this image, despite looking realistic, is a fake. And all it took to create was an easily discovered automated bot, a standard holiday snap and £5.
This image is a deepfake – and part of a rapidly growing market. Basically, AI technology (which is getting more accessible by the day) can take any image and morph it into something else. Remember the alternative ‘Queen’s Christmas message’ broadcast on Channel 4, that saw ‘Her Majesty’ perform a stunning TikTok dance? A deepfake. Those eerily realistic videos of ‘Tom Cruise’ that went viral last February? Deepfakes. That ‘gender swap’ app we all downloaded for a week during lockdown? You’ve guessed it: a low-fi form of deepfaking.
Yet, despite their prevalence, the term ‘deepfake’ (and its murky underworld) is still relatively unknown. Only 39% of Cosmopolitan readers said they knew the word ‘deepfake’ during our research (it’s derived from a combination of ‘deep learning’ – the type of AI programming used – and ‘fake’). Explained crudely, the tech behind deepfakes, Generative Adversarial Networks (GANs), is a two-part model: there’s a generator (which creates the content after studying similar images, audio, or videos) and the discriminator (which checks if the new content passes as legit). Think of it as a teenager forging a fake ID and trying to get it by a bouncer; if rejected, the harder the teen works on the forgery. GANs have been praised for making incredible developments in film, healthcare and technology (driverless cars rely on it) – but sadly, in reality it’s more likely to be used for bad than good.
Research conducted in 2018 by fraud detection company Sensity AI found that over 90% of all deepfakes online are non-consensual pornographic clips targeting women – and predicted that the number would double every six months. Fast forward four years and that prophecy has come true and then some. There are over 57 million hits for ‘deepfake porn’ on Google alone [at the time of writing]. Search interest has increased 31% in the past year and shows no signs of slowing. Does this mean we’ve lost control already? And, if so, what can be done to stop it?
Five years ago, in late 2017, something insidious was brewing in the darker depths of popular chatrooms. Reddit users began violating celebrities on a mass scale, by using deepfake software to blend run-of-the-mill red-carpet images or social media posts into pornography. Users would share their methods for making the sexual material, they’d take requests (justifying abusing public figures as being ‘better than wanking off to their real leaked nudes ’) and would signpost one another to new uploads. This novel stream of porn delighted that particular corner of the internet, as it marvelled at just how realistic the videos were (thanks to there being a plethora of media of their chosen celebrity available for the software to study).
That was until internet bosses, from Reddit to Twitter to Pornhub, came together and banned deepfakes in February 2018 , vowing to quickly remove any that might sneak through the net and make it onto their sites – largely because (valid) concerns had been raised that politically motivated deepfake videos were also doing the rounds. Clips of politicians apparently urging violence, or ‘saying’ things that could harm their prospects, had been red flagged. Despite deepfake porn outnumbering videos of political figures by the millions, clamping down on that aspect of the tech was merely a happy by-product.
But it wasn’t enough; threads were renamed, creators migrated to different parts of the internet and influencers were increasingly targeted alongside A-listers. Quickly, the number of followers these women needed to be deemed ‘fair game’ dropped, too.
Fast forward to today, and a leading site specifically created to house deepfake celebrity porn, Mr Deepfakes, sees over 13 million hits every month (that’s more than double the population of Scotland). It has performative rules displayed claiming to not allow requests for ‘normal’ people to be deepfaked, but the chatrooms are still full of guidance on how to DIY the tech yourself and people taking custom requests. Disturbingly, the most commonly deepfaked celebrities are ones who all found fame at a young age which begs another stomach-twisting question here: when talking about deepfakes, are we also talking about the creation of child pornography?
It was through chatrooms like this, that I discovered the £5 bot that created the scarily realistic nude of myself. You can send a photograph of anyone, ideally in a bikini or underwear, and it’ll ‘nudify’ it in minutes. The freebie version of the bot is not all that realistic. Nipples appear on arms, lines wobble. But the paid for version is often uncomfortably accurate. The bot has been so well trained to strip down the female body that when I sent across a photo of my boyfriend (with his consent), it superimposed an unnervingly realistic vulva.
But how easy is it to go a step further? And how blurred are the ethics when it comes to ‘celebrities vs normal people’ (both of which are a violation)? In a bid to find out, I went undercover online, posing as a man looking to “have a girl from work deepfaked into some porn”. In no time at all I meet BuggedBunny*, a custom deepfake porn creator who advertises his services on various chatroom threads – and who explicitly tells me he prefers making videos using ‘real’ women.
When I ask for proof of his skills, he sends me a photo of a woman in her mid-twenties. She has chocolate-brown hair, shy eyes and in the image, is clearly doing bridesmaid duties. BuggedBunny then tells me he edited this picture into two pornographic videos.
He emails me a link to the videos via Dropbox: in one The Bridesmaid is seemingly (albeit with glitches) being gang-banged, in another ‘she’ is performing oral sex. Although you can tell the videos are falsified, it’s startling to see what can be created from just one easily obtained image. When BuggedBunny requests I send images of the girl I want him to deepfake – I respond with clothed photos of myself and he immediately replies: “Damn, I’d facial her haha!” (ick) and asks for a one-off payment of $45. In exchange, he promises to make as many photos and videos as I like. He even asks what porn I’d prefer. When I reply, “Can we get her being done from behind?” he says, “I’ve got tonnes of videos we can use for that, I got you man.”
I think about The Bridesmaid, wondering if she has any idea that somebody wanted to see her edited into pornographic scenes. Is it better to be ignorant? Was it done to humiliate her, for blackmailing purposes, or for plain sexual gratification? And what about the adult performers in the original video, have they got any idea their work is being misappropriated in this way?
It appears these men (some of whom may just be teenagers: when I queried BuggedBunny about the app he wanted me to transfer money via, he said, “It’s legit! My dad uses it all the time”) – those creating and requesting deepfake porn – live in an online world where their actions have no real-world consequences. But they do. How can we get them to see that?
One quiet winter afternoon, while her son was at nursery, 36-year-old Helen Mort, a poet and writer from South Yorkshire, was surprised when the doorbell rang. It was the middle of a lockdown; she wasn’t expecting visitors or parcels. When Helen opened the door, there stood a male acquaintance – looking worried. “I thought someone had died,” she explains. But what came next was news she could never have anticipated. He asked to come in.
“I was on a porn website earlier and I saw… pictures of you on there,” the man said solemnly, as they sat down. “And it looks as though they’ve been online for years. Your name is listed, too.”
Initially, she was confused; the words ‘revenge porn’ (when naked pictures or videos are shared without consent) sprang to mind. But Helen had never taken a naked photo before, let alone sent one to another person who’d be callous enough to leak it. So, surely, there was no possible way it could be her?
“That was the day I learned what a ‘deepfake’ is,” Helen tells me. One of her misappropriated images had been taken while she was pregnant. In another, somebody had even added her tattoo to the body her face had been grafted onto.
Despite the images being fake, that didn’t lessen the profound impact their existence had on Helen’s life. “Your initial response is of shame and fear. I didn't want to leave the house. I remember walking down the street, not able to meet anyone’s eyes, convinced everyone had seen it. You feel very, very exposed. The anger hadn't kicked in yet.”
Nobody was ever caught. Helen was left to wrestle with the aftereffects alone. “I retreated into myself for months. I’m still on a higher dose of antidepressants than I was before it all happened.” After reporting what had happened to the police, who were initially supportive, Helen’s case was dropped. The anonymous person who created the deepfake porn had never messaged her directly, removing any possible grounds for harassment or intention to cause distress.
Eventually she found power in writing a poem detailing her experience and starting a petition calling for reformed laws around image-based abuse; it’s incredibly difficult to prosecute someone for deepfaking on a sexual assault basis (even though that’s what it is: a digital sexual assault). You’re more likely to see success with a claim for defamation or infringement of privacy, or image rights.
Unlike Helen, in one rare case 32-year-old Dina Mouhandes from Brighton was able to unearth the man who uploaded doctored images of her onto a porn site back in 2015. “Some were obviously fake, showing me with gigantic breasts and a stuck-on head, others could’ve been mistaken as real. Either way, it was humiliating,” she reflects. “And horrible, you wonder why someone would do something like that to you? Even if they’re not real photos, or realistic, it’s about making somebody feel uncomfortable. It’s invasive.”
Dina, like Helen, was alerted to what had happened by a friend who’d been
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