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Tuesday, October 26, 2021

Creating and Detecting Manipulated Images

  Creating and human detection of manipulated images.   Including an excellent explanatory video. Expect this to become increasingly common.   Considerable detail,  non technical to begin with, tech details later.  

Key Insights:

- The speed at which misinformation can be produced is faster than it has ever been. By combining instance segmentation with image inpainting, we present an Al model that can automatically and plausibly disappear objects such as people, cars, and dogs from images.

- Exposure to manipulated content can prepare people to detect future manipulations. After seeing examples of manipulated images produced by the target object removal architecture, people learn to more accurately discern between manipulated and original Images. Participant performance improves more after being exposed to subtle manipulations than blatant ones.

Human Detection of Machine-Manipulated Media  By Matthew Groh, Ziv Epstein, Nick Obradovich, Manuel Cebrian, Iyad Rahwan

Communications of the ACM, October 2021, Vol. 64 No. 10, Pages 40-47  10.1145/3445972

The recent emergence of artificial intelligence (AI)-powered media manipulations has widespread societal implications for journalism and democracy,7 national security,1 and art.8,14 AI models have the potential to scale misinformation to unprecedented levels by creating various forms of synthetic media.21 For example, AI systems can synthesize realistic video portraits of an individual with full control of facial expressions, including eye and lip movement;11,18,34,35,36 clone a speaker's voice with a few training samples and generate new natural-sounding audio of something the speaker never said;2 synthesize visually indicated sound effects;28 generate high-quality, relevant text based on an initial prompt;31 produce photorealistic images of a variety of objects from text inputs;5,17,27 and generate photorealistic videos of people expressing emotions from only a single image.3,40 The technologies for producing machine-generated, fake media online may outpace the ability to manually detect and respond to such media. ... ' 

See also Deep Angel.  A means for easily demonstrating image manipulation.

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