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Large-Scale Online Deanonymization with LLMs
81–90 of 258 posts
Re: Large-Scale Online Deanonymization with LLMs
#82I'm not sure the practical implications are as dramatic as the paper suggests. Most adversaries who would want to deanonymize people at scale (governments, corporations) already have access to far more direct methods. The people most at risk from this are probably activists and whistleblowers in jurisdictions where those direct methods aren't available, not average users.
I actually think those most at risk are normal people the activists will harass. Soon it will be possible for anybody who works at the “wrong” business or expresses any opinion on any subject to be casus belli for unhinged, terminally online, mentally ill people who are mad about the thing of the day to start making threatening calls to your employer or making false reports to police or sending deep fake porn to your mom.
I think that we are close to a time where the Internet is so toxic and so policed that the only reasonable response is to unplug.
Re: Large-Scale Online Deanonymization with LLMs
#83[flagged]
We use semantic information inferred from comments and submissions. I think using stylometry would be a great addition, but it would be hard to google for "guy who writes fanciful using many puns" rather then "indie developer in Switzerland". I think stylometry could be better used for verification, once you have a small set of candidates stylometry could further narrow down the candidates and be used to make a decision.
Re: Large-Scale Online Deanonymization with LLMs
#84I used to make new accounts every few months but got lazy. Time to start doing that again.
You may want to also do a little stylistic obfuscation. ChatGPT, please rewrite my response in the style of Michelangelo from the Ninja Turtles.
Re: Large-Scale Online Deanonymization with LLMs
#85Does this mean we'll find out who Satoshi is with a high degree of confidence?
Re: Large-Scale Online Deanonymization with LLMs
#86As people will point out, the OSINT techniques described are nothing new - typically, in the past, you could de-anonymize based on writing style or niche topics/interests. Totally deanonymization can occur if any of these accounts link to profiles containing pictures of their faces, which can then be web-searched to link to a real identity. It's astounding how many people re-use handles on stuff like porn sites linke…
If LLMs can identify a person across websites, I can ask LLM to read up his posts and write like him impersonating him and then this feeds back into the tools identifying him. I can probabilistically malign a person this way.
So this means deanonymization doesn't work? Rejoice?
Re: Large-Scale Online Deanonymization with LLMs
#87Joke's on you — All my posts are written by some Slopus now.
Re: Large-Scale Online Deanonymization with LLMs
#88I post under my real name here, pretty much the only place I post. It keeps me honest and straight in what I say when I choose to say it. I tried talking to my children about leaving as clean of a footprint on the internet as one can in anticipation of future people/systems taking that into consideration. I don't know what it will be but I would expect some adversarial stuff. Trying to keep clean is what I'd prefer for myself and my kids.
On other hand, the Neal Stephenson's Fall or, Dodge in Hell book has an interesting idea in early phase of the book where a person agrees to what we now know "flood the zone with sh*t" (Steve Bannon's sadly very effective strategy) to battle some trolls. Instead of trying to keep clean, the intent is just to spam like crazy with anything so nobody understands the core. It is cleverly explored in the book albeit for too short of a time before moving into the virtual reality. I think there are a few people out here right now practicing this.
Re: Large-Scale Online Deanonymization with LLMs
#89[flagged]
Time to scrub those naughty Glassdoor rants!
Re: Large-Scale Online Deanonymization with LLMs
#90Earlier quoted context omitted.
> Most adversaries who would want to deanonymize people at scale (governments, corporations) already have access to far more direct methods. Easier methods probably means more adversaries.
And different agendas. Governments and corporations doesn't try social engineering attacks, scams or do things that end in i.e. ransomware attacks.
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