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AI Use Case

Protect individual's privacy from AI driven image recognition

Protect individual's privacy by changing key pixels in photos to confuse AI driven image recognition. Typically these will not be immediately discernible to the human eye if, for example, they are published. The photo might be put through an app to ensure that that is is subtly changed. Inevitably counter software (AI-driven) can be deployed.



Risk reduction - IP protection

Case Studies

University of Toronto~University of Toronto researchers have developed an algorithm that makes facial recognitions systems misclassify 99% of images by applying a dynamic filter undetectable to human eye ,University of Toronto~University of Toronto researchers prevents facial image recognition by creating an adversarial AI program

Potential Vendors


Public And Social Sector


Data Sets


AI Technologies

Machine Learning (ML),ML Task - Prediction - Generation,ML Task - Prediction - Data Translation/Transformation

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