

Tbh I read the research article and it’s not rocket science that they were doing. Any 2nd rate FBI analyst would have come up with these ideas sooner or later to try and match anonymous profiles with veryfied ones using LLMs.


Tbh I read the research article and it’s not rocket science that they were doing. Any 2nd rate FBI analyst would have come up with these ideas sooner or later to try and match anonymous profiles with veryfied ones using LLMs.


If you can jailbreak it, Tuinman, Vlad can jailbreak it.


The Hindustan Times never disappoints!


Apart from it’s an old story, discussed already back and forth, Proton’s claims regarding privacy are really weak. Especially when it comes to presenting Switzerlamd as a privacy safehaven. Switzerland is a tax evasion savehaven, not a privacy safehaven, Proton. How Proton puts it: we provide world class privacy (but have to break our claims and comply with Swiss law immediately once there is a legitimate or not request from law enforcement, oepsie sorreyy!)
The results, especially the high numbers stated in the news article (68% recall, 90% accuracy) are overestimated as their verification method (i.e., whether the LLM detected really the right account) come from matching veryfied accounts with a test set of anonymous accounts of which they knew the real name. They knew the real name bcs the persons had a public link to their LinkedIn in their “anonymous” profile (which was removed for the sake of testing wheter the LLm can match the two acfounts. That being said: a user who uses a pseudonym but links his/her account publically to a, say, LinkedIn account doesn’t really care about anonymity and might hand out many more ‘breadcrumbs’ to follow than a truly anonymous account.
But I still think that also in the case of a fully anonymous account, people can be fingerprinted and matched with non-anonymous identities due to language, style etc. by a LLM.