Being Naughty to See Who Was Nice: Machine Learning Attacks on Santa’s List

Being Naughty to See Who Was Nice: Machine Learning Attacks on Santa’s List

Editor’s note: We had planned to publish our Hacky Holidays blog series throughout December 2021 – but then Log4Shell happened, and we dropped everything to focus on this major vulnerability that impacted the entire cybersecurity community worldwide. Now that it’s 2022, we’re feeling in need of some holiday cheer, and we hope you’re still in the spirit of the season, too. Throughout January, we’ll be publishing Hacky Holidays content (with a few tweaks, of course) to give the new year a festive start. So, grab an eggnog latte, line up the carols on Spotify, and let’s pick up where we left off.

Santa’s task of making the nice and naughty list has gotten a lot harder over time. According to estimates, there are around 2.2 billion children in the world. That’s a lot of children to make a list of, much less check it twice! So like many organizations with big data problems, Santa has turned to machine learning to help him solve the issue and built a classifier using historical naughty and nice lists. This makes it easy to let the algorithm decide whether they’ll be getting the gifts they’ve asked for or a lump of coal.

Santa’s lists have long been a jealously guarded secret. After all, being on the naughty list can turn one into a social pariah. Thus, Santa has very carefully protected his training data — it’s locked up tight. Santa has, however, made his model’s API available to anyone who wants it. That way, a parent can check whether their child ..

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