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Attacks against machine learning – an overview

elie.net

41–50 of 66 posts

Re: Attacks against machine learning – an overview

#41
post #3

It'd be great if there was a service that you could sign up for, which would "deceive" Facebook, Twitter, and other social media websites by producing false information about you. For example, if I don't want FB to know what movies I'm interested in, how about liking "random" movie pages on FB? If I don't want FB to know about my political orientations, how about run with the hare and hunt with the hounds?

I use this nift browser plug in: https://noiszy.com/

"It visits and navigates around websites, from within your browser, leaving misleading digital footprints around the internet. Noiszy only visits a list of sites that you approve, and only works when you turn it on. Run Noiszy in the background while you're working, or start Noiszy when you're not using your browser, and it sends meaningless data to these sites for as long as you let it run."

Re: Attacks against machine learning – an overview

#42
post #39
post #21

Earlier quoted context omitted.

This is very much the same foundation of disinformation campaigns like strongarm regime propaganda or what is currently termed “fake news”. By attacking credibility itself, anything and nothing are equally valid. The problem with poisoning the well of your own personal data is that it also makes it easier to indict you on false pretenses.

I guess if enough number of people do it, it removes the ability to indict anyone.

Or make it so anyone can be hunted for no reason at all

Re: Attacks against machine learning – an overview

#43
post #3

It'd be great if there was a service that you could sign up for, which would "deceive" Facebook, Twitter, and other social media websites by producing false information about you. For example, if I don't want FB to know what movies I'm interested in, how about liking "random" movie pages on FB? If I don't want FB to know about my political orientations, how about run with the hare and hunt with the hounds?

In order to wash out the signal, all the service would need to do is 'like everything'. In addition to masking your interests it would also grind their algorithms to a halt if enough people did that. A lot of these algorithms gain performance due to the sparsity of the data, so if everything became connected it would negatively impact the performance of their algorithms.

Anyone know how to get, or compile, a list of everything likable on Facebook?

Re: Attacks against machine learning – an overview

#44
post #21
post #3

It'd be great if there was a service that you could sign up for, which would "deceive" Facebook, Twitter, and other social media websites by producing false information about you. For example, if I don't want FB to know what movies I'm interested in, how about liking "random" movie pages on FB? If I don't want FB to know about my political orientations, how about run with the hare and hunt with the hounds?

This is very much the same foundation of disinformation campaigns like strongarm regime propaganda or what is currently termed “fake news”. By attacking credibility itself, anything and nothing are equally valid. The problem with poisoning the well of your own personal data is that it also makes it easier to indict you on false pretenses.

indict you for what?

Re: Attacks against machine learning – an overview

#45

Earlier quoted context omitted.

Interesting, what did they hate about it?

Not OP but if I had to guess, once you have a 'legal right' to submit false information it paves the way for a lot of unwanted behavior and would help the spread of disinformation. If a service is harming you and you're thinking about ways to legally address the issue, why not just go after the service itself and come up with legal repercussions / regulations for their actions? Your question led me to this NPR articl…

In my opinion, it isn't even information in the first place, so it can't be categorized into true or false information buckets. There are way too many conclusions being drawn from the stuff that gets tossed through the digital ether.

Re: Attacks against machine learning – an overview

#46

Earlier quoted context omitted.

Because facebook tracks you, even if you do not have a facebook account. https://www.theverge.com/2018/4/11/17225482/facebook-shadow-...

is it possible to block facebook domain via hosts file or chrome extension?

https://qz.com/1234502/how-to-block-facebook-all-the-urls-yo...

and

https://news.ycombinator.com/item?id=11791052

Re: Attacks against machine learning – an overview

#47
post #3

It'd be great if there was a service that you could sign up for, which would "deceive" Facebook, Twitter, and other social media websites by producing false information about you. For example, if I don't want FB to know what movies I'm interested in, how about liking "random" movie pages on FB? If I don't want FB to know about my political orientations, how about run with the hare and hunt with the hounds?

This is called Butterfly War

http://cultstate.com/2017/10/13/The-Butterfly-War/

Re: Attacks against machine learning – an overview

#48
a couple of requests in case any of you find yourself writing something similar...

Please don't title your article one thing (ML) and then in the first sentence set the context to something else (AI).

Please lead with a short paragraph stating what you did, in what context, and for what purpose, instead of trying to grab the whole pie and implying that your experience and worldview are commonly shared by everyone else.

Re: Attacks against machine learning – an overview

#49
post #3

It'd be great if there was a service that you could sign up for, which would "deceive" Facebook, Twitter, and other social media websites by producing false information about you. For example, if I don't want FB to know what movies I'm interested in, how about liking "random" movie pages on FB? If I don't want FB to know about my political orientations, how about run with the hare and hunt with the hounds?

In order to wash out the signal, all the service would need to do is 'like everything'. In addition to masking your interests it would also grind their algorithms to a halt if enough people did that. A lot of these algorithms gain performance due to the sparsity of the data, so if everything became connected it would negatively impact the performance of their algorithms. Anyone know how to get, or compile, a list of…

Facebook uses an enumerable ID for everything public, so to get a list you just have to enumerate their public pages.

Re: Attacks against machine learning – an overview

#50
post #3

It'd be great if there was a service that you could sign up for, which would "deceive" Facebook, Twitter, and other social media websites by producing false information about you. For example, if I don't want FB to know what movies I'm interested in, how about liking "random" movie pages on FB? If I don't want FB to know about my political orientations, how about run with the hare and hunt with the hounds?

In order to wash out the signal, all the service would need to do is 'like everything'. In addition to masking your interests it would also grind their algorithms to a halt if enough people did that. A lot of these algorithms gain performance due to the sparsity of the data, so if everything became connected it would negatively impact the performance of their algorithms. Anyone know how to get, or compile, a list of…

Until you get into problems (legal or personal, doesn't matter) for "liking" stuff related to child porn, terrorist propaganda or, I don't know, scientology, without even knowing about it, because it was done on your behalf by this "like automaton".
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