Tootfinder

As we say here in Massachusetts - "shockah"
https://arstechnica.com/security/2025/06/meta-and-yandex-are-de-anonymizing-android-users-web-browsing-identifiers/

Meta and Yandex are de-anonymizing Android users’ web browsing identifiers
Abuse allows Meta and Yandex to attach persistent identifiers to detailed browsing histories.

der Aufsatz in der @… zur Identifikatorenpolitik an der #BnF (https://doi.org/10.5282/o-bib/6149

The End Of Universal Lifelong Identifiers: Identity Systems For The AI Era
Shriphani Palakodety
https://arxiv.org/abs/2506.02027 https://

The End Of Universal Lifelong Identifiers: Identity Systems For The AI Era
Many identity systems assign a single, static identifier to an individual for life, reused across domains like healthcare, finance, and education. These Universal Lifelong Identifiers (ULIs) underpin critical workflows but now pose systemic privacy risks. We take the position that ULIs are fundamentally incompatible with the AI era and must be phased out. We articulate a threat model grounded in modern AI capabilities and show that traditional safeguards such as redaction, consent, and access c…

BSI und ANSSI warnen vor VideoIdent bei der digitalen EU-Brieftasche
Das BSI und seine französische Partnerbehörde ANSSI beschreiben videobasierte Identifikation beim Beantragen der geplanten EUDI-Wallet als "herausfordernd".

Inter(sectional) Alia(s): Ambiguity in Voice Agent Identity via Intersectional Japanese Self-Referents
Takao Fujii, Katie Seaborn, Madeleine Steeds, Jun Kato
https://arxiv.org/abs/2506.01998

Inter(sectional) Alia(s): Ambiguity in Voice Agent Identity via Intersectional Japanese Self-Referents
Conversational agents that mimic people have raised questions about the ethics of anthropomorphizing machines with human social identity cues. Critics have also questioned assumptions of identity neutrality in humanlike agents. Recent work has revealed that intersectional Japanese pronouns can elicit complex and sometimes evasive impressions of agent identity. Yet, the role of other "neutral" non-pronominal self-referents (NPSR) and voice as a socially expressive medium remains unexplored. In a…

Fantasy Football Today: Identifying our favorite late-round players to target in your 2025 leagues

https://www.cbssports.com/fantasy/footba…

💉 Research identifies genetic predictor of weight loss with GLP-1RAs
#medicine

Research identifies genetic predictor of weight loss with GLP-1RAs
A new study published by Cleveland Clinic researchers in Diabetes, Obesity and Metabolism investigating the genetic underpinnings of weight loss response has identified a gene, neurobeachin (NBEA), as a predictor of how individuals respond to GLP-1RAs, the class of medications behind popular treatments like liraglutide and semaglutide.

J'ai découvert la spécification "Brand Indicators for Message Identification"
#TIL

DIRF: A Framework for Digital Identity Protection and Clone Governance in Agentic AI Systems
Hammad Atta, Muhammad Zeeshan Baig, Yasir Mehmood, Nadeem Shahzad, Ken Huang, Muhammad Aziz Ul Haq, Muhammad Awais, Kamal Ahmed, Anthony Green
https://arxiv.org/abs/2508.01997

DIRF: A Framework for Digital Identity Protection and Clone Governance in Agentic AI Systems
The rapid advancement and widespread adoption of generative artificial intelligence (AI) pose significant threats to the integrity of personal identity, including digital cloning, sophisticated impersonation, and the unauthorized monetization of identity-related data. Mitigating these risks necessitates the development of robust AI-generated content detection systems, enhanced legal frameworks, and ethical guidelines. This paper introduces the Digital Identity Rights Framework (DIRF), a structu…

Privacy-Aware, Public-Aligned: Embedding Risk Detection and Public Values into Scalable Clinical Text De-Identification for Trusted Research Environments
Arlene Casey, Stuart Dunbar, Franz Gruber, Samuel McInerney, Mat\'u\v{s} Falis, Pamela Linksted, Katie Wilde, Kathy Harrison, Alison Hamilton, Christian Cole
https://arxiv.…

Privacy-Aware, Public-Aligned: Embedding Risk Detection and Public Values into Scalable Clinical Text De-Identification for Trusted Research Environments
Clinical free-text data offers immense potential to improve population health research such as richer phenotyping, symptom tracking, and contextual understanding of patient care. However, these data present significant privacy risks due to the presence of directly or indirectly identifying information embedded in unstructured narratives. While numerous de-identification tools have been developed, few have been tested on real-world, heterogeneous datasets at scale or assessed for governance read…