首页|New Machine Learning Study Results Reported from Dr B.R.Ambedkar National Institute of Technology (Detecting Lowresolution Deepfakes: an Exploration of Machine Learning Techniques)
New Machine Learning Study Results Reported from Dr B.R.Ambedkar National Institute of Technology (Detecting Lowresolution Deepfakes: an Exploration of Machine Learning Techniques)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learning have been published. According to news reporting out of Punjab, India, by NewsRx editors, research stated, "Deep generative models, especially Generative Adversarial Networks (GANs), have recently demonstrated outstanding performance in realworld applications such as image generation and content production for large-scale public datasets and social media platforms, enabling high-resolution compelling fake content generation. Deepfakes have raised global concerns and disbelief due to the potential implications of misleading multimedia." Our news journalists obtained a quote from the research from the Dr B.R. Ambedkar National Institute of Technology, "Several algorithms to detect deepfakes have emerged; however, most rely on deep learning and video datasets. So, an automated approach is needed to detect the generated deepfakes. This paper presents a deepfake detection technique employing simple machine learning to identify low-resolution deepfakes and introduces a dataset that contains high-resolution, low-resolution, and mixed images. The method utilizes classification algorithms and an ensemble model in the frequency domain."
PunjabIndiaAsiaCyborgsEmerging TechnologiesMachine LearningDr B.R. Ambedkar National Institute of Technology
NETL
NSTL
