Tootfinder

The Curse of Dimensionality: De-identification Challenges in the Sharing of Highly Dimensional Datasets
https://fpf.org/blog/the-curse-of-dimensionality-de-identification-challenges-in-the-sharing-of-highl…

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…

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…

Researchers detail a technique Meta uses to glean some of its logged-in users' browsing histories from Chromium-based browsers on Android via web identifiers (Dan Goodin/Ars Technica)
https://arstechnica.com/security/2025/06/headline-to-come/

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

“As design ethicist Aral Balkan explains: ‘Dark patterns might boost short-term metrics, but they ultimately corrode trust and damage brand reputation. Ethical design creates sustainable relationships rather than one-time transactions.’”
https://ui-deploy.com/blog/e…

Ethical Dark Patterns: Identifying and Avoiding Manipulative Design
Learn to identify and avoid manipulative dark patterns in favor of ethical design that builds long-term user trust.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter
Ichiro Maruta, Toshiharu Sugie
https://arxiv.org/abs/2506.03650

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter
This paper investigates the effects of setting the sampling frequency significantly higher than conventional guidelines in system identification. Although continuous-time identification methods resolve the numerical difficulties encountered in discrete-time approaches when employing fast sampling (e.g., the problems caused by all poles approaching unity), the potential benefits of using sampling frequencies that far exceed traditional rules like the "ten times the bandwidth" guideline remained …

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…