Tootfinder

Are there any admins on social.tchncs.de.? Is anonymously spreading lies about over 30 families in Gaza allowed on this instance?
This anonymous coward has been chased off of every server he’s been on and yet he’s still here, still attacking people suffering from genocide and famine.
(And yes, some folks copy posts from others. We’ve asked them not to. But they’re trying to survive genocide, not win social media awards.)
Also (see his second post) we’re not attempting to r…

Linux Is Best (@Linux@social.tchncs.de)
Attached: 2 images 1 of 2 First, let me say: what’s happening in Gaza is absolutely awful. But what’s also awful is that there are dishonest people taking advantage of others during a crisis. In one photo, from Facebook (my job, where I work), we had a woman claiming to be a 36-year-old mother of two children, ages 4 and 7. She spaced out the URL in her post, hoping it wouldn’t get flagged by spam filters (it did). The very next day, someone on the Fediverse posted the exact same messa…

Why Data Anonymization Has Not Taken Off
Matthew J. Schneider, James Bailie, Dawn Iacobucci
https://arxiv.org/abs/2509.10165 https://arxiv.org/pdf/2509.101…

Why Data Anonymization Has Not Taken Off
Companies are looking to data anonymization research $\unicode{x2013}$ including differential private and synthetic data methods $\unicode{x2013}$ for simple and straightforward compliance solutions. But data anonymization has not taken off in practice because it is anything but simple to implement. For one, it requires making complex choices which are case dependent, such as the domain of the dataset to anonymize; the units to protect; the scope where the data protection should extend to; and …

Losing Nemo: In the Red Sea, clownfish vanish as anemones bleach
https://news.mongabay.com/2025/10/losing-nemo-in-the-red-sea-clownfish-vanish-as-anemones-bleach/

GAMA: A General Anonymizing Multi-Agent System for Privacy Preservation Enhanced by Domain Rules and Disproof Method
Hailong Yang, Renhuo Zhao, Guanjin Wang, Zhaohong Deng
https://arxiv.org/abs/2509.10018

GAMA: A General Anonymizing Multi-Agent System for Privacy Preservation Enhanced by Domain Rules and Disproof Method
With the rapid advancement of Large Language Model (LLM), LLM-based agents exhibit exceptional abilities in understanding and generating natural language, facilitating human-like collaboration and information transmission in LLM-based Multi-Agent System (MAS). High-performance LLMs are often hosted on remote servers in public spaces. When tasks involve privacy data, MAS cannot securely utilize these LLMs without implementing privacy-preserving mechanisms. To address this challenge, we propose a…

Content Anonymization for Privacy in Long-form Audio
Cristina Aggazzotti, Ashi Garg, Zexin Cai, Nicholas Andrews
https://arxiv.org/abs/2510.12780 https://a…

Content Anonymization for Privacy in Long-form Audio
Voice anonymization techniques have been found to successfully obscure a speaker's acoustic identity in short, isolated utterances in benchmarks such as the VoicePrivacy Challenge. In practice, however, utterances seldom occur in isolation: long-form audio is commonplace in domains such as interviews, phone calls, and meetings. In these cases, many utterances from the same speaker are available, which pose a significantly greater privacy risk: given multiple utterances from the same speaker, an…

Anonymous leadership and stochastic resonance in collectives of self-propelled robots
Manuel Dizenhaus, Franco De Simone, German A. Patterson
https://arxiv.org/abs/2510.12580 ht…

Anonymous leadership and stochastic resonance in collectives of self-propelled robots
We investigate the influence of an anonymous leader on a collective of self-propelled robots using Kilobot experiments and numerical simulations. A single leader alternated deterministically between clockwise and counterclockwise motion, while the other robots followed a stochastic majority rule. Although the leader does not change global order, it induces correlations with the collective response that peak at intermediate perturbation levels, resembling stochastic resonance. Simulations confir…

»Dein Handy als Spion: Heimlich überwacht?
Unterwegs mit versteckter Kamera und falscher Identität auf einer Überwachungsmesse: Dort präsentiert ein Unternehmen Spähprogramme, mit denen Smartphones überwacht werden können.«
Dies ist sicherlich nicht die einzige Firma der Tel. und SMS Überwachung, sprich die Anonymität verstößt, ist mMn schon länger im Allgemeinen in Verdacht.
📺

Dein Handy als Spion: Heimlich überwacht? – Firma verkauft Überwachungssoftware
Unterwegs mit versteckter Kamera und falscher Identität auf einer Überwachungsmesse: Dort präsentiert eine Firma Software zur Mobiltelefon-Überwachung

#bloomscrolling am #klexenhaus
(ja, hier blühen tatsächlich die Anemonen, auch wenn sie das erst im Frühling sollten - habe sie glaub ich zum falschen Zeitpunkt gepflanzt.)

VeilAudit: Breaking the Deadlock Between Privacy and Accountability Across Blockchains
Minhao Qiao, Iqbal Gondal, Hai Dong
https://arxiv.org/abs/2510.12153 https://

VeilAudit: Breaking the Deadlock Between Privacy and Accountability Across Blockchains
Cross chain interoperability in blockchain systems exposes a fundamental tension between user privacy and regulatory accountability. Existing solutions enforce an all or nothing choice between full anonymity and mandatory identity disclosure, which limits adoption in regulated financial settings. We present VeilAudit, a cross chain auditing framework that introduces Auditor Only Linkability, which allows auditors to link transaction behaviors that originate from the same anonymous entity withou…

How to Get Actual Privacy and Utility from Privacy Models: the k-Anonymity and Differential Privacy Families
Josep Domingo-Ferrer, David S\'anchez
https://arxiv.org/abs/2510.11299

How to Get Actual Privacy and Utility from Privacy Models: the k-Anonymity and Differential Privacy Families
Privacy models were introduced in privacy-preserving data publishing and statistical disclosure control with the promise to end the need for costly empirical assessment of disclosure risk. We examine how well this promise is kept by the main privacy models. We find they may fail to provide adequate protection guarantees because of problems in their definition or incur unacceptable trade-offs between privacy protection and utility preservation. Specifically, k-anonymity may not entirely exclude …