Secret Image Sharing Thesis

Secret Image Sharing Thesis-36
That application isn’t very exciting, but stands to make advertising more relevant.

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It’s worth considering the depth and breadth of the personal data we share without reservations.

Of those who were critical of my thesis, many argued that the pictures were already available anyway.

Like most emerging technology, there's a chance of fraught consequences.

Age progression could someday factor into insurance assessment and health care.

In various versions of the meme, people were instructed to post their first profile picture alongside their current profile picture, or a picture from 10 years ago alongside their current profile picture.

So, yes: These profile pictures exist, they’ve got upload time stamps, many people have a lot of them, and for the most part they’re publicly accessible. Imagine that you wanted to train a facial recognition algorithm on age-related characteristics and, more specifically, on age progression (e.g., how people are likely to look as they get older).Facial recognition's potential is mostly mundane: Age recognition is probably most useful for targeted advertising.Ad displays that incorporate cameras or sensors and can adapt their messaging for age-group demographics (as well as other visually recognizable characteristics and discernible contexts) will likely be commonplace before very long.Last year police in New Delhi reported tracking down nearly 3,000 missing kids in just four days using facial recognition technology.If the kids had been missing a while, they would likely look a little different from the last known photo of them, so a reliable age progression algorithm could be genuinely helpful here.The most common rebuttal was: “That data is already available.Facebook's already got all the profile pictures.”Of course they do.Just think of the mass data extraction of more than 70 million US Facebook users performed by Cambridge Analytica.Is it bad that someone could use your Facebook photos to train a facial recognition algorithm? Still, the broader takeaway here is that we need to approach our interactions with technology mindful of the data we generate and how it can be used at scale.Sure, you could mine Facebook for profile pictures and look at posting dates or EXIF data.But that whole set of profile pictures could end up generating a lot of useless noise.

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