Intel’s deepfake detector analyzes ‘blood flow’ in video pixels to return results in milliseconds with 96% accuracy.
As part of Intel’s Responsible AI work, the company has productized FakeCatcher, a technology that can detect fake videos with a 96% accuracy rate. Intel’s deepfake detection platform is the world’s first real-time deepfake detector that returns results in milliseconds.
Intel’s real-time platform uses FakeCatcher, a detector designed by Demir in collaboration with Umur Ciftci from the State University of New York at Binghamton. Using Intel hardware and software, it runs on a server and interfaces through a web-based platform. Read More
Tag Archives: Fake
AI-generated podcast features fake voices of Steve Jobs and Joe Rogan
The creators of podcast.ai have released a 20-minute podcast featuring artificially-generated versions of Steve Jobs and Joe Rogan. The entire interview was created using AI, with the clone of Jobs discussing Eastern mysticism, Buddhism, LSD, Google, Microsoft Windows 3, and more Read More
#audio, #fake, #podcastsWho Are You (I Really Wanna Know)? Detecting Audio DeepFakes Through Vocal Tract Reconstruction
Generative machine learning models have made convincing voice synthesis a reality. While such tools can be extremely useful in applications where people consent to their voices being cloned (e.g., patients losing the ability to speak, actors not wanting to have to redo dialog, etc), they also allow for the creation of nonconsensual content known as deepfakes. This malicious audio is problematic not only because it can convincingly be used to impersonate arbitrary users, but because detecting deepfakes is challenging and generally requires knowledge of the specific deepfake generator. In this paper, we develop a new mechanism for detecting audio deepfakes using techniques from the field of articulatory phonetics. Specifically, we apply fluid dynamics to estimate the arrangement of the human vocal tract during speech generation and show that deepfakes often model impossible or highly-unlikely anatomical arrangements. When parameterized to achieve 99.9% precision, our detection mechanism achieves a recall of 99.5%, correctly identifying all but one deepfake sample in our dataset. We then discuss the limitations of this approach, and how deepfake models fail to reproduce all aspects of speech equally. In so doing, we demonstrate that subtle, but biologically constrained aspects of how humans generate speech are not captured by current models, and can therefore act as a powerful tool to detect audio deepfakes. Read More
D-ID, the company behind Deep Nostalgia, lets you create AI-generated videos from a single image
sraeli AI company D-ID, which provided technology for projects like Deep Nostalgia, is launching a new platform where users can upload a single image and text to generate video. With this new site called Creative Reality Studio, the company is targeting sectors like corporate training and education, internal and external communication from companies, product marketing and sales.
The platform is pretty simple to use: Users can upload an image of a presenter or select one from the pre-created presenters to start the video creation process. Paid users can access premium presenters who are more “expressive” as they have better facial expressions and hand movements than the default ones. After that, users can either type the text from a script or simply upload an audio clip of someone’s speech. Users can then select a language (the platform supports 119 languages), voice and styles like cheerful, sad, excited and friendly.
The company’s AI-based algorithms will generate a video based on these parameters. Users can then distribute the video anywhere. The firm claims that the algorithm takes only half of the video duration time to generate a clip, but in our tests, it took a couple of minutes to generate a one-minute video. This could change depending on the type of presenter and language you selected. Read More
Elvis Presley returns to the stage thanks to deepfake technology on ‘AGT’ finale
…Metaphysic, a group that uses artificial intelligence technology to create hyper-real content, turned Simon Cowell into a world-class opera singer during the auditions, then brought Howie Mandel and Terry Crews into the mix during the Quarterfinals. The AGT judges wondered how the group could possibly outdo themselves for the finals, and on Tuesday, that’s exactly what they did when they brought the King of Rock ‘n’ Roll, and Las Vegas, back to life. Read More
#fake, #videosDeepfakes for all: Uncensored AI art model prompts ethics questions
A new open source AI image generator capable of producing realistic pictures from any text prompt has seen stunningly swift uptake in its first week. Stability AI’s Stable Diffusion, high fidelity but capable of being run on off-the-shelf consumer hardware, is now in use by art generator services like Artbreeder, Pixelz.ai and more. But the model’s unfiltered nature means not all the use has been completely above board.
For the most part, the use cases have been above board. For example, NovelAI has been experimenting with Stable Diffusion to produce art that can accompany the AI-generated stories created by users on its platform. Midjourney has launched a beta that taps Stable Diffusion for greater photorealism.
But Stable Diffusion has also been used for less savory purposes. On the infamous discussion board 4chan, where the model leaked early, several threads are dedicated to AI-generated art of nude celebrities and other forms of generated pornography. Read More
Fighting AI with AI: The Battle against Deepfakes
NEARLY A DECADE AGO, Ian Goodfellow, then a PhD candidate at Université de Montréal, was drinking with friends at the 3 Brasseurs in Montreal’s downtown when he conceived an idea that would change machine learning—and the world of disinformation—forever.
“I don’t want to be someone who goes around promoting alcohol for the purposes of science, but in this case, I do actually think that drinking helped a little bit,” said Goodfellow in his appearance on the Lex Fridman Podcast. If the idea came to him at lunchtime rather than over a beer in the evening, he added, he might have been able to talk himself out of it. Instead, he went home and started working on the project.
Goodfellow suspected that pitting two computer systems against each other—called generative adversarial networks, or GANs—would yield more realistic outputs than the deep-learning machines that existed at the time, which would often generate blurry images of people, usually with missing facial features, did. His early model was able to create numbers that looked hand drawn, human-like faces, and photos of animals that resembled something out of a pixelated Monet painting, but as the technology evolved, it became possible to create strikingly realistic forgeries using a much less involved process. Read More
Google quietly bans deepfake training projects on Colab
Google has quietly banned deepfake projects on its Colaboratory (Colab) service, putting an end to the large-scale utilization of the platform’s resources for this purpose.
Colab is an online computing resource that allows researchers to run Python code directly through the browser while using free computing resources, including GPUs, to power their projects.
… Based on archive.org historical data, the ban took place earlier this month, with Google Research quietly adding deep fakes to the list of disallowed projects. Read More
Kendrick Lamar uses deepfakes in latest music video
American rapper Kendrick Lamar has made use of deepfakes for his latest music video.
Deepfakes use generative neural network architectures – such as autoencoders or generative adversarial networks (GANs) – to manipulate or generate visual and audio content.
Lamar is widely considered one of the greatest rappers of all time. However, he’s regularly proved his creative mind isn’t limited to his rapping talent.
For his track ‘The Heart Part 5’, Lamar has made use of deepfake technology to seamlessly morph his face into various celebrities including Kanye West, Nipsey Hussle, Will Smith, and even O.J. Simpson. Read More
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New method detects deepfake videos with up to 99% accuracy
Computer scientists at UC Riverside can detect manipulated facial expressions in deepfake videos with higher accuracy than current state-of-the-art methods. The method also works as well as current methods in cases where the facial identity, but not the expression, has been swapped, leading to a generalized approach to detect any kind of facial manipulation. The achievement brings researchers a step closer to developing automated tools for detecting manipulated videos that contain propaganda or misinformation.
Developments in video editing software have made it easy to exchange the face of one person for another and alter the expressions on original faces. As unscrupulous leaders and individuals deploy manipulated videos to sway political or social opinions, the ability to identify these videos is considered by many essential to protecting free democracies. Methods exist that can detect with reasonable accuracy when faces have been swapped. But identifying faces where only the expressions have been changed is more difficult and to date, no reliable technique exists. Read More
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