FaceApp is a popular app and is, in fact, one of the first few apps to really popularise and democratize deepfakes and AI-generated face editing on smartphones. With FaceApp, you can simply upload your picture to the app and then see what you'll look like when you're old, make yourself smile, and more.
Most states have laws punishing revenge porn, but only four – California, New York, Georgia and Virginia – ban nonconsensual deepfakes.
Despite being an easy-to-use web app, Deepswap is an extremely powerful deepfake generator. With Deepswap, users can do much more than just insert themselves into movie scenes: they can face swap their photos, deepfake their videos and even create mind-blowing gifs to use in social media apps.
As reported by local media Jiemian, Tencent Cloud's service can analyze and train itself on three-minute videos and 100 voice clips to produce a convincing deepfake video within 24 hours. The deepfake creation service costs roughly 1,000 yuan or $145.
TikTok had previously banned deepfakes that mislead viewers about real-world events and cause harm. Its updated guidelines say deepfakes of private figures and young people are also not allowed.
Rocketing to the top of the app store charts shortly after its release back in 2019, Zao, a Chinese free deepfake app for both iOS and Android, can paint your likeness automatically over famous actors in movies and TV clips.
Zao deepfake app
It makes an original deepfake video that looks natural and indistinguishable from the original video within a few moments. It takes only a few minutes and can be used on Android or ios devices.
There are no specific laws protecting victims of nonconsensual deepfake pornography, and new proposals will fall short. The Digital Services Act (DSA) obliges platforms to demonstrate the procedures by which illegal content can be reported and taken down.
Deepfakes are simple to make. Scarily simple if you are concerned about abuse. Early deepfakes were - perhaps unsurprisingly - focused on pornography. More terrifying use cases include the use of deepfakes for fake alibis in courtrooms, extortion, or terrorism.
In November, Intel announced its Real-Time Deepfake Detector, a platform for analyzing videos. (The term “deepfake” derives from the use of deep learning—an area of AI that uses many-layered artificial neural networks—to create fake content.)
Deepfakes can be harmful, but creating a deepfake that is hard to detect is not easy. Creating a deepfake today requires the use of a graphics processing unit (GPU). To create a persuasive deepfake, a gaming-type GPU, costing a few thousand dollars, can be sufficient.
Ian Goodfellow's invention of Generative Adversarial Networks (GAN) in 2014 allowed for such realistic fake videos you see on social media. GANs consist of two artificial intelligence (AI) agents: one forges an image, and the other attempts to detect the forgery.
Deepswap is one of the best deepfake apps available, with an impressive accuracy rate and a simple user interface. It uses deep learning technology to swap faces and create highly realistic videos. The online deepfake app is available for free, and users can easily create deepfakes on their mobile devices or computers.
This leads us to the conclusion that just 500 images are required to create a perfect deepfake.
Often, they inflict psychological harm on the victim, reduce employability, and affect relationships. Bad actors have also used this technique to threaten and intimidate journalists, politicians, and other semi-public figures. Furthermore, cyber criminals use deepfake technology to conduct online fraud.
As facial recognition software is increasingly used to unlock smartphones and computers, to name just a few use cases, Deepfakes will make it possible to achieve true facial recognition.
In the wrong hands, these photos and videos created on the deepfake apps can be very problematic when they are used to misrepresent someone. These apps are often used for nefarious purposes such as fake celebrity videos and even election manipulation!
Deepfakes rely on artificial neural networks, which are computer systems that recognize patterns in data. Developing a deepfake photo or video typically involves feeding hundreds or thousands of images into the artificial neural network, “training” it to identify and reconstruct patterns—usually faces.
Deepfakes Web offers a free and paid version. The free takes around 5 hours to generate a video, while the premium version, which costs $3 per hour, churns out a video in just 1 hour. This tool uses powerful GPUs on the cloud but still takes a lot of time to render all the data perfectly.
Are the videos legal? Deepfake videos are legal. However, depending on what is contained in the video they could potentially breach legal codes. For example, if they are pornographic face-swap videos or photos, the victim will be able to claim defamation or copyright.
China has introduced first-of-its-kind regulations banning the creation of AI deepfakes used to spread fake news and impersonate people without consent.
One of the first introductions to deepfakes for audiences around the world was in the 1994 film Forrest Gump, when the titular character meets President John F Kennedy.