![]() The AI firm Deeptrace found 15,000 deepfake videos online in September 2019, a near doubling over nine months. ![]() They need to be wary of suspicious content and learn in detail how to detect deepfakes.Many are pornographic. In the end, as with all threats arising from the digital world, people’s judgement is the link we need to strengthen the most. In this way, the risk is greatly reduced. In processes that require more thorough verification, deepfake detection software or online life detection systems (e.g., taking a selfie or video link in real time) can be used. Therefore, we can spot them by focusing on small aspects, such as dull shadows around the eyes, unrealistic facial hair, overly smooth or wrinkled skin, fictitious moles and unnatural lip colour. Other detailsĭetails are the weak point of deepfake software. Therefore, blurs inside the mouth are indicative of a false image. The technology to generate deepfakes is not very good at faithfully reproducing the tongue, teeth and oral cavity when the person speaks. Be suspicious if the video has no audio or has audio that does not match the image, especially lip movement. ![]() Software exists to create voice fakes, but it is often limited to changing the face. Video lengthĪ quality fake requires several hours of work and training of the algorithm, so fake videos are usually only a few seconds long. Generating forgeries of a person’s entire persona involves quite a lot of work, so most deepfakes are limited to face substitutions. So, one way to detect forgery is to identify incongruities between the proportions of the body and face, or between facial expressions and body movements or postures. There are still details to pay attention to: Number of flashesīy paying attention to the number of times the image in the video flashes, we can find out if it is a real person or a deepfake, as deepfakes tend to do this less often than people, sometimes in a forced or unnatural way. According to a recent study published in Proceedings of the National Academy of Sciences USA, “synthetically generated faces are not only photo-realistic, they are almost indistinguishable from the real thing and are considered more reliable”. However, it is not impossible. In fact, it has been used for years in Hollywood film studios, but is now available to many people through commercial applications, which has increased the volume of such content circulating on the web, although Facebook banned Deepfakes in 2020 (with the exception of those that are clearly parodies). Among the most popular deepfake videos, videos include those of user DeepTomCruise on TikTok: ![]() In other words, it is a video, image or audio created with AI, which imitates the appearance and/or voice of a person (synthetic media). This refers to a spoofing technique, which uses an advanced artificial intelligence technique that collects data on physical movements, facial features and even voice, and processes it through an AI encoding algorithm or a Generative Antagonistic Network (GAN), to create fake but hyperrealistic audiovisual, graphical or voice content. The term comes from the combination of the concepts “deep learning” and “fake”, alluding to the fake content generated with deep learning (AI) Outstanding Debentures&Bonds of Telefónica S.A.Communications prior to 8 February 2020.Annual Reports on the Remuneration of Directors.Company’s Internal Regulations: By-Laws and Regulations.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |