Tootfinder

Secure and reversible face anonymization with diffusion models
Pol Labarbarie, Vincent Itier, William Puech
https://arxiv.org/abs/2510.01031 https://arxiv.…

Secure and reversible face anonymization with diffusion models
Face images processed by computer vision algorithms contain sensitive personal information that malicious actors can capture without consent. These privacy and security risks highlight the need for effective face anonymization methods. Current methods struggle to propose a good trade-off between a secure scheme with high-quality image generation and reversibility for later person authentication. Diffusion-based approaches produce high-quality anonymized images but lack the secret key mechanism …

The Online Safety Act, which went into effect in the U.K. on July 25, requires any website that might have adult content to conduct age-verification checks.
According to the U.K.’s Office of Communications, or Ofcom,
users must provide proof of age
in the form of photo IDs, credit cards, photos for facial recognition software, and other so-called age gates,
or else be denied access.
Though often heralded by parents as a way to keep kids from accessing sexually…

‘Anonymity Online Is Going to Die’: What Age-Verification Laws Could Look Like in the U.S.
As controversy around the U.K.’s Online Safety Act continues, experts warn about similar legislation thriving in the U.S.

»Anonyme E-Mails versenden — So schützen Sie Ihre Privatsphäre im Netz:
Anonyme E-Mails können Ihre Privatsphäre schützen. Verschiedene Tools und Methoden bieten effektive Möglichkeiten, um die eigene Identität zu verschleiern.«
Die meisten Menschen hier kennen und nutzen es sicherlich schon. Schade, dass die nicht auch OpenPGP für E-Mail Verschlüsselung erwähnen. Es geht ja immer darum wie was wann weshalb mensch es einsetzt.
📧

Privatsphäre und Identität schützen: So senden Sie E-Mails ganz anonym
Anonyme E-Mails können Ihre Privatsphäre schützen. Verschiedene Tools und Methoden bieten effektive Möglichkeiten, um die eigene Identität zu verschleiern.

New statue on National Mall celebrates ‘long-lasting bond’ between Trump and Epstein https://www.theguardian.com/us-news/2025/sep/23/national-mall-trump-epstein-statue?CMP=Share_iOSApp_Other

Speaker Anonymisation for Speech-based Suicide Risk Detection
Ziyun Cui, Sike Jia, Yang Lin, Yinan Duan, Diyang Qu, Runsen Chen, Chao Zhang, Chang Lei, Wen Wu
https://arxiv.org/abs/2509.22148

Speaker Anonymisation for Speech-based Suicide Risk Detection
Adolescent suicide is a critical global health issue, and speech provides a cost-effective modality for automatic suicide risk detection. Given the vulnerable population, protecting speaker identity is particularly important, as speech itself can reveal personally identifiable information if the data is leaked or maliciously exploited. This work presents the first systematic study of speaker anonymisation for speech-based suicide risk detection. A broad range of anonymisation methods are invest…

Examining I2P Resilience: Effect of Centrality-based Attack
Kemi Akanbi, Sunkanmi Oluwadare, Jess Kropczynski, Jacques Bou Abdo
https://arxiv.org/abs/2509.18572 https://

Frag mich ob die Analogie zu "KI"-Lernen funkioniert:
Whats the point of "AI" Feedback, if I still have to pay a teacher to fix it?
Wenn wir annehmen, dass Lernen ein ähnlich komplexer Vorgang wie programmieren ist, dann können wir das übertragen. Vielleicht ist ja "KI"-Lernen wenig mehr als ein Rollenspiel für Leute, die sich wie Lehrende fühlen wollen, ohne die eigentliche Arbeit zu machen.
Bringt uns der Begriff vibe learning weiter?

tante (@tante@tldr.nettime.org)
Angehängt: 1 Bild I think the Vibecoding reddit has accidentally stumbled on the best description of vibecoding: It's "roleplay for guys [it is always guys] who want to feel like hackers without doing the hard part". (Source: https://www.reddit.com/r/vibecoding/comments/1mu6t8z/whats_the_point_of_vibe_coding_if_i_still_have_to/ ) #ai #vibecoding

TravelBench : Exploring LLM Performance in Low-Resource Domains
Srinivas Billa, Xiaonan Jing
https://arxiv.org/abs/2510.02719 https://arxiv.org/pdf/2510.02…

TravelBench : Exploring LLM Performance in Low-Resource Domains
Results on existing LLM benchmarks capture little information over the model capabilities in low-resource tasks, making it difficult to develop effective solutions in these domains. To address these challenges, we curated 14 travel-domain datasets spanning 7 common NLP tasks using anonymised data from real-world scenarios, and analysed the performance across LLMs. We report on the accuracy, scaling behaviour, and reasoning capabilities of LLMs in a variety of tasks. Our results confirm that gen…

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…

Accelerating AI Development with Cyber Arenas
William Cashman, Chasen Milner, Michael Houle, Michael Jones, Hayden Jananthan, Jeremy Kepner, Peter Michaleas, Alex Pentland
https://arxiv.org/abs/2509.08200

Accelerating AI Development with Cyber Arenas
AI development requires high fidelity testing environments to effectively transition from the laboratory to operations. The flexibility offered by cyber arenas presents a novel opportunity to test new artificial intelligence (AI) capabilities with users. Cyber arenas are designed to expose end-users to real-world situations and must rapidly incorporate evolving capabilities to meet their core objectives. To explore this concept the MIT/IEEE/Amazon Graph Challenge Anonymized Network Sensor was d…