Found a total of 10000 related content
Quietly, Google has banned the Deepfake project on Colab
Article Introduction:It is reported that Google has recently quietly banned its deepfake project on the Colaboratory (Colab) service. This means that the era of large-scale utilization of platform resources for Deepfake purposes may have come to an end. As we all know, Colab is an online computing resource platform that allows researchers to run Python code directly through the browser while using free computing resources, including GPUs, to support their projects. Due to the multi-core nature of GPUs, Colab is an ideal choice for machine learning projects like Deepfake models or for performing data analysis. After some training, people use deepfake technology to swap faces in video clips.
2023-04-08
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How to use blockchain technology to deal with the threat of deepfake videos
Article Introduction:In an era dominated by digital innovation, the rise of deepfake videos has sparked widespread concern. Deepfakes are videos generated using artificial intelligence that manipulate and overlay images onto existing footage, potentially allowing viewers to be deceived and manipulated on an unprecedented scale. As technology continues to advance, we urgently need robust solutions to combat the growing threat of misinformation. One promising avenue to combat deepfakes is to integrate blockchain technology into the fight against this digital threat. Understanding the Deepfake Threat Deepfake technology uses machine learning algorithms to create realistic videos that are able to convincingly depict individuals doing things or saying things they have never said. These deceptive videos may be used maliciously, including
2024-01-12
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Overview of Deepfake Detection Based on Deep Learning
Article Introduction:Deep learning (DL) has become one of the most influential fields in computer science, directly affecting human life and society today. Like every other technological innovation in history, deep learning has been used for some illegal purposes. Deepfakes are such a deep learning application. Hundreds of studies have been conducted in the past few years to invent and optimize various Deepfake detection using AI. This article mainly discusses how to detect Deepfake. To deal with deepfakes, deep learning methods as well as machine learning (non-deep learning) methods have been developed to detect them. Deep learning models need to consider a large number of parameters, so a large amount of data is required to train such models. This is exactly
2023-04-12
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Steps to build a deepfake detection system based on machine learning algorithms
Article Introduction:Deepfake detection requires professional machine learning, computer vision and data analysis knowledge. A successful deepfake detection system depends on data quality, feature relevance, and model effectiveness. This article provides an analysis of the steps to build a deepfake detection system, including the use of machine learning algorithms. 1. Data collection and preparation An ideal dataset should contain a large number of samples covering a variety of people, poses, lighting conditions, and other factors that may affect the quality of deepfakes. In addition, the number of real and fake samples should be balanced. After collecting the data set, it needs to be prepared for use in a machine learning model. This includes splitting the data into training and test sets and preprocessing the data to extract features that can be used to train the model. 2. Feature extractionFeature extraction
2024-01-24
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It's hard to tell if DeepFake's face is fake, but Tom Cruise looks more like me than he does!
Article Introduction:On TikTok, one of the most popular social media platforms in the world, a steady stream of deepfake videos are popping up. These videos digitally transform the subject's face or body, transforming the user into a completely different person. Of course, people usually change faces of famous people. For example, @deeptomcriuse on TikTok has posted dozens of deepfake videos impersonating Tom Cruise and has 3.6 million followers. Good guy, the similarity is so similar that even Tom Cruise himself was confused when he saw it. In another deepfake video, a fake Zuckerberg admitted his ambition to steal user big data. "Imagine this: being a human hand
2023-04-13
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Is your remote employee really herself? FBI reveals job seekers abusing Deepfakes
Article Introduction:In the world of deepfake, it is sometimes difficult to distinguish between true and false. The AI algorithm "Deepfake" can generate a variety of realistic images and videos of people, and has been widely used in the field of face-changing. However, AI face-changing technology has caused constant controversy, such as the use of Deepfake to produce adult videos, which has caused great trouble to people. Recently, according to foreign media pcmag, the FBI stated that scammers have been using Deepfake technology to impersonate job applicants in remote work interviews, trying to get job opportunities at IT companies in order to access their customer or financial data, corporate IT databases and/or or proprietary information. Some companies revealed that some applicants’ personal
2023-04-08
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