Working 'anonymously or under a pseudonym serves vital societal interests,' Banksy's lawyer Mark Stephens wrote.

https://www.abc.net.au/news/2026-03-17/banksy-real-identity-revealed-in-new-investigation/106462888

'It protects freedom of expression by allowing creators to speak truth to power without fear of retaliation, censorship or persecution — particularly when addressing sensitive issues such as politics, religion or social justice.'

#streetart #Banksy #anonymity #pseudonymity

Banksy's real identity revealed in new investigation

An in-depth investigation drawing on court files, photos and public records reports the world-famous anonymous artist is a Bristol-born man who later adopted a new identity. 

Large-scale online deanonymization with LLMs
From Cornel University Computer Science

We show that large language models can be used to perform at-scale deanonymization. With full Internet access, our agent can re-identify Hacker News users and Anthropic Interviewer participants at high precision, given pseudonymous online profiles and conversations alone, matching what would take hours for a dedicated human investigator. We then design attacks for the closed-world setting. Given two databases of pseudonymous individuals, each containing unstructured text written by or about that individual, we implement a scalable attack pipeline that uses LLMs to: (1) extract identity-relevant features, (2) search for candidate matches via semantic embeddings, and (3) reason over top candidates to verify matches and reduce false positives. Compared to classical deanonymization work (e.g., on the Netflix prize) that required structured data, our approach works directly on raw user content across arbitrary platforms. We construct three datasets with known ground-truth data to evaluate our attacks. The first links Hacker News to LinkedIn profiles, using cross-platform references that appear in the profiles. Our second dataset matches users across Reddit movie discussion communities; and the third splits a single user's Reddit history in time to create two pseudonymous profiles to be matched. In each setting, LLM-based methods substantially outperform classical baselines, achieving up to 68% recall at 90% precision compared to near 0% for the best non-LLM method. Our results show that the practical obscurity protecting pseudonymous users online no longer holds and that threat models for online privacy need to be reconsidered.

Simon Lermen, Daniel Paleka, Joshua Swanson, Michael Aerni, Nicholas Carlini, Florian Tramè

https://arxiv.org/abs/2602

#computerscience #cornelluniversity #AiResearch #privacy #anonymity #llm #HackNews #athropic #pseudonymity
#deanonymization

You've got nothing to hide, do you?

»We show that large language models can be used to perform at-scale #deanonymization. With full Internet access, our agent can re-identify Hacker News users and Anthropic Interviewer participants at high precision, given pseudonymous online profiles and conversations alone, matching what would take hours for a dedicated human investigator. We then design attacks for the closed-world setting. Given two databases of pseudonymous individuals, each containing unstructured text written by or about that individual, we implement a scalable attack pipeline«

https://arxiv.org/abs/2602.16800

"#AI" #privacy #pseudonymity #anonymity #LLM

Large-scale online deanonymization with LLMs

We show that large language models can be used to perform at-scale deanonymization. With full Internet access, our agent can re-identify Hacker News users and Anthropic Interviewer participants at high precision, given pseudonymous online profiles and conversations alone, matching what would take hours for a dedicated human investigator. We then design attacks for the closed-world setting. Given two databases of pseudonymous individuals, each containing unstructured text written by or about that individual, we implement a scalable attack pipeline that uses LLMs to: (1) extract identity-relevant features, (2) search for candidate matches via semantic embeddings, and (3) reason over top candidates to verify matches and reduce false positives. Compared to classical deanonymization work (e.g., on the Netflix prize) that required structured data, our approach works directly on raw user content across arbitrary platforms. We construct three datasets with known ground-truth data to evaluate our attacks. The first links Hacker News to LinkedIn profiles, using cross-platform references that appear in the profiles. Our second dataset matches users across Reddit movie discussion communities; and the third splits a single user's Reddit history in time to create two pseudonymous profiles to be matched. In each setting, LLM-based methods substantially outperform classical baselines, achieving up to 68% recall at 90% precision compared to near 0% for the best non-LLM method. Our results show that the practical obscurity protecting pseudonymous users online no longer holds and that threat models for online privacy need to be reconsidered.

arXiv.org
LLMs can break online pseudonymity and identify users across platforms

Large language models (LLMs) can now re-identify pseudonymous internet users at scale, in minutes instead of hours.

CyberInsider

Pseudonymity saves lives.
It is vital to healthy democracies.

#Privacy #Pseudonymity #HumanRights

Does digital ID have risks even if it’s ZK-wrapped?

The following is a guest post and opinion from Evin McMullen, Co-founder & CEO at Billions.Network. ZK Won’t Save Us: Why Digital Identity Must Stay Plural Zero-knowledge (ZK)-wrapped identity was lauded as a silver bullet to solve everything about presenting yourself online—providing verifiable, privacy-preserving proof of personhood without the need to trust governments, platforms, or […]

CryptoSlate

@nasamuffin precisely that

Thanks for this image (I hope it's yours and permissively licensed!) because it's a good illustration for #Bitcoin and other #Shitcoins in regards to #Privacy, as they are at best just #Pseudonymous and every interaction are deanonymizing.

#Monero #Cryptocurrency #Anonymity #Pseudonymity

emily dogmom (queer all year) (@[email protected])

Attached: 1 image anonymity is not the same thing as privacy

jorts.horse

New Privacy Guides video 🎞️🪪
by @jw:

Age Verification represents an incredible threat to our privacy.

Not only Age Verification doesn't protect the children, but this could mean the end of protective pseudonymity for everyone if implemented widely.

Watch this excellent video created by Jordan here on PeerTube (based on my article on the same topic): https://neat.tube/w/aR4toTWJpcBZamUdQQpGRu

#PrivacyGuides #Privacy #AgeVerification #DataMinimization #Pseudonymity #PeerTube

Is this the End of the Anonymous Internet?

PeerTube

Fedi people with a website who are also pseudonymous, what did/do you use to register your domain name(s)?

I would like to be able to 1. pay anonymously, preferably using a debit card through a blind signature or zero-knowledge proof mechanism as privacy-friendly crypto is hard to find, and 2. not have to register using an email address, which again are not easy to get pseudonymously/anonymously.

Boosts appreciated.

#AskFedi #anonymity #pseudonymity