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Ok, in BW wurden „aufgrund eines Computerfehlers“ 1440 Lehrystellen nicht besetzt.¹
Aufregung, Skandal, zahlreiche Artikel. Nur: was genau passiert ist, erklärt wieder mal niemand.
Ich kann mir das ja nicht so vorstellen, daß die Mike-Krüger-Gesamtschule plötzlich feststellt, daß heute niemand die 7b unterrichtet.
Muß ich annehmen, daß ein Rektor ohne Nachfrage im Ministerium hinnimmt, daß er dieses Schuljahr zwei Lehrkräfte weniger hat (z.B. nach Pensionierung nicht nachbe…

Peinliche Computer-Panne: Mehr als tausend Lehrerstellen 20 Jahre übersehen
Über 20 Jahre fällt niemandem auf, dass hunderte Lehrerstellen unbesetzt sind. Das Kultusministerium ist peinlich berührt, kann nun aber kräftig einstellen.

Artificial Intelligence in Breast Cancer Care: Transforming Preoperative Planning and Patient Education with 3D Reconstruction
Mustafa Khanbhai, Giulia Di Nardo, Jun Ma, Vivienne Freitas, Caterina Masino, Ali Dolatabadi, Zhaoxun "Lorenz" Liu, Wey Leong, Wagner H. Souza, Amin Madani
https://arxiv.org/abs/2509.12242

Artificial Intelligence in Breast Cancer Care: Transforming Preoperative Planning and Patient Education with 3D Reconstruction
Effective preoperative planning requires accurate algorithms for segmenting anatomical structures across diverse datasets, but traditional models struggle with generalization. This study presents a novel machine learning methodology to improve algorithm generalization for 3D anatomical reconstruction beyond breast cancer applications. We processed 120 retrospective breast MRIs (January 2018-June 2023) through three phases: anonymization and manual segmentation of T1-weighted and dynamic contras…

The Ethics of Generative AI in Anonymous Spaces: A Case Study of 4chan's /pol/ Board
Parth Gaba, Emiliano De Cristofaro
https://arxiv.org/abs/2506.14191

The Ethics of Generative AI in Anonymous Spaces: A Case Study of 4chan's /pol/ Board
This paper presents a characterization of AI-generated images shared on 4chan, examining how this anonymous online community is (mis-)using generative image technologies. Through a methodical data collection process, we gathered 900 images from 4chan's /pol/ (Politically Incorrect) board, which included the label "/mwg/" (memetic warfare general), between April and July 2024, identifying 66 unique AI-generated images. The analysis reveals concerning patterns in the use of this technology, with …

Toward Practical Privacy in XR: Empirical Analysis of Multimodal Anonymization Mechanisms
Azim Ibragimov, Ethan Wilson, Kevin R. B. Butler, Eakta Jain
https://arxiv.org/abs/2506.13882

Toward Practical Privacy in XR: Empirical Analysis of Multimodal Anonymization Mechanisms
As extended reality (XR) systems become increasingly immersive and sensor-rich, they enable the collection of fine-grained behavioral signals such as eye and body telemetry. These signals support personalized and responsive experiences and may also contain unique patterns that can be linked back to individuals. However, privacy mechanisms that naively pair unimodal mechanisms (e.g., independently apply privacy mechanisms for eye and body privatization) are often ineffective at preventing re-ide…

Unlearning-Enhanced Website Fingerprinting Attack: Against Backdoor Poisoning in Anonymous Networks
Yali Yuan, Kai Xu, Ruolin Ma, Yuchen Zhang
https://arxiv.org/abs/2506.13563

Unlearning-Enhanced Website Fingerprinting Attack: Against Backdoor Poisoning in Anonymous Networks
Website Fingerprinting (WF) is an effective tool for regulating and governing the dark web. However, its performance can be significantly degraded by backdoor poisoning attacks in practical deployments. This paper aims to address the problem of hidden backdoor poisoning attacks faced by Website Fingerprinting attack, and designs a feasible mothed that integrates unlearning technology to realize detection of automatic poisoned points and complete removal of its destructive effects, requiring onl…

Kann mir jemand mal 'Anonyme Umfrage' erklären?
Meine Tochter bekam vor ca. 4 Wochen ein Schreiben eines Frankfurter Amtes. Sie sei 1 von 5000 zufällig ausgewählten Bürger_innen und solle doch bitte
1. freiwillig und
2. anonym
an einer Umfrage teilnehmen.
Heute bekommt sie ein weiteres Schreiben. Inhalt: "Leider haben sie noch nicht an unserer Umfrage teilgenommen". Natürlich folgt dann sofort der Hinweis auf Freiwilligkeit und Anonymität. Alles D…

Protecting participants or population? Comparison of k-anonymous Origin-Destination matrices
Pietro Armenante, Kai Huang, Nikhil Jha, Luca Vassio
https://arxiv.org/abs/2509.12950

Protecting participants or population? Comparison of k-anonymous Origin-Destination matrices
Origin-Destination (OD) matrices are a core component of research on users' mobility and summarize how individuals move between geographical regions. These regions should be small enough to be representative of user mobility, without incurring substantial privacy risks. There are two added values of the NetMob2025 challenge dataset. Firstly, the data is extensive and contains a lot of socio-demographic information that can be used to create multiple OD matrices, based on the segments of the pop…

Masked ICE agents are only the start of the assault on government transparency.
Now, government attorneys that are arguing to deport immigrants are doing so in secret.
The Intercept reports on two separate instances immigration judges in New York City declined to identify the government attorneys for Immigration and Customs Enforcement.
In the first case Judge ShaSha Xu said,
“We’re not really doing names publicly.”
But that’s not really true. Because she *did* ID…

Government Attorneys Now On Board With The Whole Secret Police Thing
Judges are letting government attorneys do the ugly work of mass deportations anonymously.

Exploring Economic Sectoral Dynamics Through High-resolution Mobility Data
Timothy F Leslie, Hossein Amiri, Andreas Z\"ufle
https://arxiv.org/abs/2506.13985

Exploring Economic Sectoral Dynamics Through High-resolution Mobility Data
We present a comprehensive dataset capturing patterns of human mobility across the United States from January 2019 to January 2023, based on anonymized mobile device data. Aggregated weekly, the dataset reports visits, travel distances, and time spent at public locations organized by economic sector for approximately 12 million Points of Interest (POIs). This resource enables the study of how mobility and economic activity changed over time, particularly during major events such as the COVID-19…