Tootfinder

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/

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 …

Target speaker anonymization in multi-speaker recordings
Natalia Tomashenko, Junichi Yamagishi, Xin Wang, Yun Liu, Emmanuel Vincent
https://arxiv.org/abs/2510.09307 https://

Target speaker anonymization in multi-speaker recordings
Most of the existing speaker anonymization research has focused on single-speaker audio, leading to the development of techniques and evaluation metrics optimized for such condition. This study addresses the significant challenge of speaker anonymization within multi-speaker conversational audio, specifically when only a single target speaker needs to be anonymized. This scenario is highly relevant in contexts like call centers, where customer privacy necessitates anonymizing only the customer'…

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…

Was Nick Merrill (ex Calyx OS) jetzt macht: https://www.wired.com/story/new-anonymous-phone-carrier-sign-up-with-nothing-but-a-zip-code/

🇺🇦 Auf #radioeins läuft...
Aimee Mann:
🎵 Wise Up
#NowPlaying #AimeeMann
https://trinitysoundsystem.bandcamp.com/track/wise-up-trinity-sound-system-mix
https://open.spotify.com/track/0SpdCj83hKPcwTqNzUkWXr

email_eu: Email network (EU research inst.)
An email network (anonymized) from a large European research institution, collected from October 2003 to May 2005 (18 months). Each node corresponds to an email address, and a directed edge exists between nodes i and j, if i sent at least one message to j.
This network has 265214 nodes and 420045 edges.
Tags: Social, Communication, Unweighted

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 …

email_eu: Email network (EU research inst.)
An email network (anonymized) from a large European research institution, collected from October 2003 to May 2005 (18 months). Each node corresponds to an email address, and a directed edge exists between nodes i and j, if i sent at least one message to j.
This network has 265214 nodes and 420045 edges.
Tags: Social, Communication, Unweighted