Étiquette : deep fake (Page 3 of 3)

which face is real

“Which Face Is Real has been developed by Jevin West and Carl Bergstrom at the University of Washington as part of the Calling Bullshit project. All images are either computer-generated from thispersondoesnotexist.com using the StyleGAN software, or real photographs from the FFHQ dataset of Creative Commons and public domain images. License rights notwithstanding, we will gladly respect any requests to remove specific images; please send the URL of the results pages showing the image in question.”

Source : Which Face Is Real?

Reverse engineering generative models from a single deepfake image

“Deepfakes have become more believable in recent years. In some cases, humans can no longer easily tell some of them apart from genuine images. Although detecting deepfakes remains a compelling challenge, their increasing sophistication opens up more potential lines of inquiry, such as: What happens when deepfakes are produced not just for amusement and awe, but for malicious intent on a grand scale? Today, we — in partnership with Michigan State University (MSU) — are presenting a research method of detecting and attributing deepfakes that relies on reverse engineering from a single AI-generated image to the generative model used to produce it. Our method will facilitate deepfake detection and tracing in real-world settings, where the deepfake image itself is often the only information detectors have to work with.”

Source : Reverse engineering generative models from a single deepfake image

“NOTE: The audio quality demonstrated here was additionally degraded since we want to avoid improper use of this technology. The purpose of this video is to excite the class about the potential of deep learning, not to deceive anyone. Thus, we purposely lowered the audio quality before publishing to make the synthetic aspect of this video clearer.”

via Alexander Amini

Four video still images of Tucker Carlson speaking

Four video still images that mirror the original Tucker Carlson video. The face on the speaker appears to be that of actor Nicolas Cage.

“Lyu says a skilled forger could get around his eye-blinking tool simply by collecting images that show a person blinking. But he adds that his team has developed an even more effective technique, but says he’s keeping it secret for the moment. “I’d rather hold off at least for a little bit,” Lyu says. “We have a little advantage over the forgers right now, and we want to keep that advantage.””

Source : The Defense Department has produced the first tools for catching deepfakes – MIT Technology Review

«DARPA’s MediFor program brings together world-class researchers to attempt to level the digital imagery playing field, which currently favors the manipulator, by developing technologies for the automated assessment of the integrity of an image or video and integrating these in an end-to-end media forensics platform. If successful, the MediFor platform will automatically detect manipulations, provide detailed information about how these manipulations were performed, and reasonoverall integrity of visual media to facilitate decisions regarding the use of any questionable image or video».

Source : Media Forensics

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