This is the paste:
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Let's perform an experiment.
Let's smoke out the mole. Let's have Verizon user start sending suspicious messages to each other. Let's have Google users start googling for bomb making skills. Let's have users of Facebook start to associate and interact with extreme right-wing groups. Let's see who is passing data around.
An added benefit: the US won the Cold War not through combat, but attrition: they successfully bled the USSR's treasury threw an arms race. Today, it probably costs the NSA millions of dollars to investigate every suspicious individual, so we can wear the NSA out by acting suspicious.
Related
There is a concept in machine learning called a poison attack (analogous to an SQL injection attack). It involves purposefully sending a ML algorithm incorrect data, so 1) it's inference about you will be wrong, and 2) it biases it's learning by training itself on wrong data. Just FYI
At one point there was an anonymous mail relay that would inject random suspicious text ("The cook needs more semtex") into all messages. Wish I could remember the name.
Comments
Shades of the old USENET trend of including "NSA Food" lines in signatures. I never saw the point since it would so easily be ignored.
Sample USENET post from December, 1987 with an "NSA Food" line in the signature (and a related joke line): https://groups.google.com/forum/?fromgroups#!topic/comp.sys....
Discussion of "NSA food" lines from April, 1987: https://groups.google.com/forum/?fromgroups#!topic/news.misc...
Seems to be timing out for me. Anyone have a description or mirror?
This is the paste: -----------------------------------
Let's perform an experiment.
Let's smoke out the mole. Let's have Verizon user start sending suspicious messages to each other. Let's have Google users start googling for bomb making skills. Let's have users of Facebook start to associate and interact with extreme right-wing groups. Let's see who is passing data around.
An added benefit: the US won the Cold War not through combat, but attrition: they successfully bled the USSR's treasury threw an arms race. Today, it probably costs the NSA millions of dollars to investigate every suspicious individual, so we can wear the NSA out by acting suspicious. Related
There is a concept in machine learning called a poison attack (analogous to an SQL injection attack). It involves purposefully sending a ML algorithm incorrect data, so 1) it's inference about you will be wrong, and 2) it biases it's learning by training itself on wrong data. Just FYI
it's back up now I believe.
The page refuses to scroll on an iPhone.
Ditto.
At one point there was an anonymous mail relay that would inject random suspicious text ("The cook needs more semtex") into all messages. Wish I could remember the name.
Emacs used to do it. See: www.catb.org/jargon/html/N/NSA-line-eater.html
Didn't Apple file a patent for multiple profiles (derived from one) on a social network? Thought I read this somewhere.