Deepfakes or DF, a portmanteau of "deep learning or DL" and "fake", is an artificial intelligence-based human image synthesis technique. It is used to combine and superimpose existing images and videos onto source images or videos. Makes fakes video.
DFs may be used to create fake celebrity pornographic videos or revenge porn. DF pornography surfaced on the Internet in 2017, particularly on Reddit, and has been banned by sites including Reddit, Twitter, and Pornhub. DFs can be used to create fake news and malicious hoaxes.
Non-pornographic DFs can be easily found on popular online video streaming sites such as Youtube or Vimeo. A popular program is DeepFakeApp, which makes use of TensorFlow.
Techniques to faking facial gestures and rendering onto the target video as look-alike of the target person were presented in 2016 and allow near real-time counterfeiting of facial expressions in existing 2D video.
DL (also known as d-p structured learning or hierarchical learning) is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, semi-supervised or unsupervised.
DL models are loosely related to information processing and communication patterns in a biological nervous system, such as neural coding that attempts to define a relationship between various stimuli and associated neuronal responses in the brain.
DL architectures such as d-p neural networks, d-p belief networks and recurrent neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics and drug design, where they have produced results comparable to and in some cases superior to human experts.