Secret Image Sharing Thesis

Secret Image Sharing Thesis-24
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.Of course, not all the dismissive comments in my Twitter mentions were about the pictures being already available; some critics noted that there was too much crap data to be usable.

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”).

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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.

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.

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. My intent wasn't to claim that the meme is inherently dangerous.But I knew the facial recognition scenario was broadly plausible and indicative of a trend that people should be aware of."This is a user-generated meme that went viral on its own," a Facebook spokesperson responded."Facebook did not start this trend, and the meme uses photos that already exist on Facebook.Facebook gains nothing from this meme (besides reminding us of the questionable fashion trends of 2009).As a reminder, Facebook users can choose to turn facial recognition on or off at any time.”But even if this particular meme isn't a case of social engineering, the past few years have been rife with examples of social games and memes designed to extract and collect data.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.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.

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