These Wonks Study the Dangers of Artificial Intelligence. But the harm can be mitigated if these videos can be automatically detected.
What features are extracted and how they are defined is known only to the CNN. Your feedback will go directly to Tech Xplore editors. To avoid falling prey to a similar flaw, we have trained our system on a large library of images of both open and closed eyes.
Yang et al. The more images used to train a deepfake algorithm, the more realistic the digital impersonation will be. Even for people who are photographed often, few images are available online showing their eyes closed. When a deepfake algorithm is trained on face images of a person, it’s dependent on the photos that are available on the internet that can be used as training data. This study highlights the boon and the bane of AI. While AI can be used to damage reputations and spread misinformation, it can also be used to prevent infodemics, the harms of which are sharply felt amid crises like the COVID-19 pandemic. to Deepfake videos, with 85.62% and 95.00% false accep-tance rates (on high quality versions) respectively, which means methods for detecting Deepfake videos are neces-sary. This isn’t the final word on detecting deepfakes, of course. Making a deepfake video is a lot like translating between languages. AI algorithm detects deepfake videos with high accuracy.
Before they can work properly, deep neural networks need a lot of source information, such as photos of the persons being the source or target of impersonation. The new technique created by USC researchers requires … This text is priceless. Most of the academic research surrounding Deepfake seeks to detect the videos. While AI-based deepfake video detection methods do exist, researchers from Thapar Institute of Engineering and Technology and Indraprastha Institute of Information Technology in India have developed a new algorithm with increased accuracy and precision. An overly trusted detection algorithm that can be tricked could be weaponized by those seeking to spread false information. Broadly, their approach consists of a classifier that decides whether an input video is real or (deep) fake.
This technique can be used to create compromising videos of virtually anyone, including celebrities, politicians, and corporate public figures. The information you enter will appear in your e-mail message and is not retained by Tech Xplore in any form. One of them has to do with how the simulated faces blink – or don’t. In this era of unprecedented connectedness and instant communication-when news can become viral in a matter of hours-such videos can cause great harm to those in the videos as well as to the social and cultural psyche of the associated communities. So far, people have used deepfake videos in pornography and satire to make it appear that famous people are doing things they wouldn’t normally. Standard deepfake detection models analyze videos frame-by-frame to spot any sign of manipulation. Droits d'auteur © 2010–2020, The Conversation France (assoc. Such is the case with a certain AI-based technique called “deepfake” (combination of “deep learning” and “fake”), which uses deep neural networks to easily create fake videos in which the face of one person is superimposed on that of another. Without training images of people blinking, deepfake algorithms are less likely to create faces that blink normally. The algorithm can identify them using only about two seconds of video material. part may be reproduced without the written permission. For a total of 181,608 real and deepfake frames retrieved from the dataset of videos collated in this study, the proposed method achieved higher accuracy (98.21%) and precision (99.62%), with a much lower total training time. To be more specific, it scans each frame of a video in question, detects the faces in it and then locates the eyes automatically. All rights reserved. "Deepfakes" are out there. Click here to sign in with Deepfake detection methods mostly rely on the artifacts or inconsistency of intrinsic features between fake and real images or videos. Researchers have developed automatic systems that examine videos for errors such as irregular blinking patterns of lighting. Original post: https://techxplore.com/news/2020-07-ai-algorithm-deepfake-videos-high.html, Thanks for sharing your thoughts. Phys.org internet news portal provides the latest news on science, Medical Xpress covers all medical research advances and health news, Science X Network offers the most comprehensive sci-tech news coverage on the web. These tools are easy to use, even for people with no background in programming or video editing.
The technology is improving rapidly, and the competition between generating and detecting fake videos is analogous to a chess game.