Secret Image Sharing Thesis

Secret Image Sharing Thesis-64
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.

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.

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

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

Even the EXIF metadata on the photo wouldn't always be reliable for assessing that date. Some people resort to uploading screenshots of pictures found elsewhere online. Through the Facebook meme, most people have been helpfully adding that context back in (“me in 2008 and me in 2018”) as well as further info, in many cases, about where and how the pic was taken (“2008 at University of Whatever, taken by Joe; 2018 visiting New City for this year’s such-and-such event”).

In other words, thanks to this meme, there’s now a very large dataset of carefully curated photos of people from roughly 10 years ago and now.

That application isn’t very exciting, but stands to make advertising more relevant.

But as that data flows downstream and becomes enmeshed with our location tracking, response and purchase behavior, and other signals, it could bring about some genuinely creepy interactions.I’ll offer three plausible use cases for facial recognition: one respectable, one mundane, and one risky.The benign scenario: Facial recognition technology, specifically age progression capability, could help with finding missing kids.If you uploaded an image of a cat 10 years ago and now—as one of my friends did, adorably—that particular sample would be easy to throw out.For its part, Facebook denies having any hand in the #10Year Challenge.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.In other words, it would help if you had a clean, simple, helpfully labeled set of then-and-now photos.What's more, for the profile pictures on Facebook, the photo posting date wouldn’t necessarily match the date the picture was taken. They might have uploaded pictures multiple times over years.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.

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