Tootfinder

Nano-Roboter bekämpfen bakterielle Nasennebenhöhlenentzündung mechanisch
Nano-Roboter werden in Schwärmen eingesetzt, um Bakterien mechanisch zu zerstören, die eine bakterielle Nasennebenhöhlenentzündung verursachen.

🌡️ Simple yogurt production tweak cuts bacterial culture costs and extends shelf life
#yogurt

Simple yogurt production tweak cuts bacterial culture costs and extends shelf life
A new method for producing yogurt has been developed by a research team at the DTU National Food Institute, and it all began with a straightforward question.

🇺🇦 Auf radioeins läuft...
Baxter Dury feat. JGrrey:
🎵 Allbarone (Radio Edit)
#NowPlaying #BaxterDury #JGrrey
https://baxterdury.bandcamp.com/track/return-of-the-sharp-heads-ft-j-grrey
https://open.spotify.com/track/4c2aIzS237QA5qLwC53wds

»Jeder berufstätige Mensch sollte bestrebt sein, seinen Körper gesund zu erhalten. Es wird damit einer Pflicht genügt, die jeder für sich und dem Volksganzen gegenüber zu erfüllen hat. Arbeitskraft bedeutet für den Berufstätigen Kapital, mit dem er haushalten muss.«
Aus: Gustav Bohadti – Die Buchdruckletter (Ullstein, 1954)
#typografie

I finally finished the blogpost including some new photos and a short video (!!) from my hike last Saturday.
To me it was a really really gorgeous day!
Read the story here: https://www.franzgraf.de/blog/2025/getting-up-early-for-the-mountains/
(a…

SABRE-FL: Selective and Accurate Backdoor Rejection for Federated Prompt Learning
Momin Ahmad Khan, Yasra Chandio, Fatima Muhammad Anwar
https://arxiv.org/abs/2506.22506

SABRE-FL: Selective and Accurate Backdoor Rejection for Federated Prompt Learning
Federated Prompt Learning has emerged as a communication-efficient and privacy-preserving paradigm for adapting large vision-language models like CLIP across decentralized clients. However, the security implications of this setup remain underexplored. In this work, we present the first study of backdoor attacks in Federated Prompt Learning. We show that when malicious clients inject visually imperceptible, learnable noise triggers into input images, the global prompt learner becomes vulnerable …

Yang-Baxter Equation and Related Algebraic Structures
Valeriy Bardakov, Mohamed Elhamdadi, Mahender Singh
https://arxiv.org/abs/2506.23175 https://

Yang-Baxter Equation and Related Algebraic Structures
In the 1990s, Drinfel'd proposed the study of set-theoretical solutions to the quantum Yang-Baxter equation, initiating a line of research that has since garnered substantial attention and led to notable developments in algebra, low-dimensional topology, and related areas. This monograph offers a concise introduction to the algebraic theory of such solutions, focusing on key structures including skew braces, quandles, racks, and Rota-Baxter groups, which have emerged as central objects in this …

An infinite family of pairs of distinct quartic Galois CM-fields with the same discriminant and regulator
Yoshichika Iizuka, Yutaka Konomi
https://arxiv.org/abs/2506.23541

An infinite family of pairs of distinct quartic Galois CM-fields with the same discriminant and regulator
We construct an infinite family of pairs of distinct imaginary biquadratic fields and pairs of distinct imaginary cyclic quartic fields with the same discriminant and regulator. We also construct an infinite family of imaginary biquadratic fields and imaginary cyclic quartic fields with the same regulator. Moreover, we give examples of a pair of distinct imaginary biquadratic fields and a pair of distinct imaginary cyclic quartic fields with the same discriminant, regulator and class number.

Thousands of Asus routers are being hit with stealthy, persistent backdoors - Ars Technica
https://arstechnica.com/security/2025/05/thousands-of-asus-routers-are-being-hit-with-stealthy-persistent-backdoors/

This https://arxiv.org/abs/2411.14681 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

TrojanEdit: Multimodal Backdoor Attack Against Image Editing Model
Multimodal diffusion models for image editing generate outputs conditioned on both textual instructions and visual inputs, aiming to modify target regions while preserving the rest of the image. Although diffusion models have been shown to be vulnerable to backdoor attacks, existing efforts mainly focus on unimodal generative models and fail to address the unique challenges in multimodal image editing. In this paper, we present the first study of backdoor attacks on multimodal diffusion-based i…