|
|
|
|
|
|
by behnamoh
3590 days ago
|
|
|
Sorry, I'm new to Markov Chains, but recently I've been thinking about a way to "beat" ML algorithms of GOOG, FB, etc. So that the information stored about me is NOT true. For example, if someone keeps searching for "LGBT" while he/she is not one, GOOG will assume he IS one, or at least, interested in the topic.
My question is, is there a general method for beating ML/AI algorithms and stay hidden from them?
Thank you. |
|
|
https://www.youtube.com/watch?v=sphFCJE1HkI#t=7m50s
So you can use Google itself to find words which are obviously not well known (just construct a dictionary filled with random characters and see how many results come back for each word). Take a passage of clean text, and randomly replace the nouns in the text with these garbage words (capitalize the first character), and post it to your social network. The surrounding text will provide legitimacy, but the garbage words will probably throw off the algorithms. Do it often enough, and someone at Google will probably investigate the issue :-)
Or maybe go and get public domain text which has a lot of words which are not in use today and fill up your FB/Google/Twitter feeds with such data. My view is that such data will very likely throw off the existing algorithms, and if people do it at sufficient scale, we may discover that ML algorithms are only as smart as the training data set.