Tootfinder

letzten donnerstag wollte ich nur kurz eine bestellung für ein buchgeschenk für jemanden in der familie in der münsteraner "schatzinsel" abholen. da ich ein paar minuten zeit zum stöbern hatte, konnte ich mir dann die beiden neusten eichhörnchen-bücher von olivier tallec schenken. 😊
"mein bester bester freund" und "ist amsel tot?" – wieder mal große themen, und wieder sehr schön umgesetzt.

⚡ Living cement: Scientists turn bacteria-infused cement into energy-storing supercapacitors
https://techxplore.com/news/2025-09-cement-scientists-bacteria-infused-energy.html

Living cement: Scientists turn bacteria-infused cement into energy-storing supercapacitors
Imagine a house that doesn't just shelter you but also stores electricity. It may sound like science fiction, but it's now closer to reality than ever before. A research team at Aarhus University has demonstrated how the world's most widely used building material can be transformed into a living energy device. By embedding energy-producing bacteria in cement, they have created a biohybrid supercapacitor with surprisingly high performance and a remarkable ability to regenerate itself over time.

The last step in a long process on “arsenic life”: #arsenic Instead of phosphorus” from 2010 has now been killed (over the objections of the authors) by the journal that had published it: https://www.science.org/doi/10.1126/science.adu5488 (and see https://skyweek.wordpress.com/2010/12/02/bakterien-mit-arsen-zwangsernahrt-macht-das-leben-im-all-wahrscheinlicher/ and https://skyweek.wordpress.com/2010/12/05/zweifel-an-den-arsen-bakterien-mehren-sich/ for my reporting back then about the announcement and the swift and hard criticism).

An excellent long-read about how to argue with "AI" boosters, fanboys, whatever you wanna call them (if you can be bothered to respond to their mindless dribble).
https://www.wheresyoured.at/how-to-argue-with-an-ai-booster/

A Set of Generalized Components to Achieve Effective Poison-only Clean-label Backdoor Attacks with Collaborative Sample Selection and Triggers
Zhixiao Wu, Yao Lu, Jie Wen, Hao Sun, Qi Zhou, Guangming Lu
https://arxiv.org/abs/2509.19947

A Set of Generalized Components to Achieve Effective Poison-only Clean-label Backdoor Attacks with Collaborative Sample Selection and Triggers
Poison-only Clean-label Backdoor Attacks aim to covertly inject attacker-desired behavior into DNNs by merely poisoning the dataset without changing the labels. To effectively implant a backdoor, multiple \textbf{triggers} are proposed for various attack requirements of Attack Success Rate (ASR) and stealthiness. Additionally, sample selection enhances clean-label backdoor attacks' ASR by meticulously selecting ``hard'' samples instead of random samples to poison. Current methods 1) usually han…

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation
Ashwath Vaithinathan Aravindan, Abha Jha, Matthew Salaway, Atharva Sandeep Bhide, Duygu Nur Yaldiz
https://arxiv.org/abs/2508.18235

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation
Text-to-image diffusion models have revolutionized generative AI, but their vulnerability to backdoor attacks poses significant security risks. Adversaries can inject imperceptible textual triggers into training data, causing models to generate manipulated outputs. Although text-based backdoor defenses in classification models are well-explored, generative models lack effective mitigation techniques against. We address this by selectively erasing the model's learned associations between adversa…

Busters for Raiders preseason week 3 vs 49ers https://raiderswire.usatoday.com/story/sports/nfl/raiders/2025/08/24/busters-for-raiders-preseason-week-3-vs-49ers/85810714007/

BadReasoner: Planting Tunable Overthinking Backdoors into Large Reasoning Models for Fun or Profit
Biao Yi, Zekun Fei, Jianing Geng, Tong Li, Lihai Nie, Zheli Liu, Yiming Li
https://arxiv.org/abs/2507.18305

BadReasoner: Planting Tunable Overthinking Backdoors into Large Reasoning Models for Fun or Profit
Large reasoning models (LRMs) have emerged as a significant advancement in artificial intelligence, representing a specialized class of large language models (LLMs) designed to tackle complex reasoning tasks. The defining characteristic of LRMs lies in their extensive chain-of-thought (CoT) reasoning capabilities. In this paper, we identify a previously unexplored attack vector against LRMs, which we term "overthinking backdoors". We advance this concept by proposing a novel tunable backdoor, w…

🦠 Metabolism of Terephthalic Acid by a Novel Bacterial Consortium Produces Valuable By-Products
#bacteria

Towards Stealthy and Effective Backdoor Attacks on Lane Detection: A Naturalistic Data Poisoning Approach
Yifan Liao, Yuxin Cao, Yedi Zhang, Wentao He, Yan Xiao, Xianglong Du, Zhiyong Huang, Jin Song Dong
https://arxiv.org/abs/2508.15778

Towards Stealthy and Effective Backdoor Attacks on Lane Detection: A Naturalistic Data Poisoning Approach
Deep learning-based lane detection (LD) plays a critical role in autonomous driving and advanced driver assistance systems. However, its vulnerability to backdoor attacks presents a significant security concern. Existing backdoor attack methods on LD often exhibit limited practical utility due to the artificial and conspicuous nature of their triggers. To address this limitation and investigate the impact of more ecologically valid backdoor attacks on LD models, we examine the common data poiso…