RUFake was expressly designed to mitigate a broad range of privacy risks. This puts us ahead of our Competitors.  

• Risks of Correctly Determining that a photo is ‘fake’. This has legal, financial, social and psychological implications for you, the data owner (photo provider) and for RUFake.
• Risks of Falsely Determining if a photo is ‘fake’. In other words, the photo is real. The photo owner may not wish others to know that they shared this with you, or may be upset that somebody else shared this with you – for instance, if they were in a sensitive scenario.
• Risks of biased analysis. This may include algorithms that preferentially tag fake when analyzing photos from groups or certain people, such as celebrities, or types of people, such as women or men.  RUFake prevents this risk through rigorous selection of datasets and AI modeling approaches.
• Risk of disclosure or loss of user information. There are several risks including identity disclosure, attribute disclosure and membership disclosure. What if a photo you upload is sensitive – such as from a restricted jurisdiction – or the person was not authorized to be in that location? RUFake mitigates this risk by cropping background information from your photo, and by not storing data.