Tootfinder

Guten Morgen,
draußen schlafen die Autos leicht vom Schnee überzuckert auf ihren Parkplätzen. Es war Sirenenalarm, seitdem ist die Feuerwehr und Polizei ausgerückt und heulen mit ihren Sirenen in den Morgen.
Wird ein spannender Tag, bin gespannt, ob es nicht recht glatt ist #mdRzA.
Schönen Donnerstag! :coffeepot: 🙂 🥶

DeepTrust: Multi-Step Classification through Dissimilar Adversarial Representations for Robust Android Malware Detection
Daniel Pulido-Cort\'azar, Daniel Gibert, Felip Many\`a
https://arxiv.org/abs/2510.12310

DeepTrust: Multi-Step Classification through Dissimilar Adversarial Representations for Robust Android Malware Detection
Over the last decade, machine learning has been extensively applied to identify malicious Android applications. However, such approaches remain vulnerable against adversarial examples, i.e., examples that are subtly manipulated to fool a machine learning model into making incorrect predictions. This research presents DeepTrust, a novel metaheuristic that arranges flexible classifiers, like deep neural networks, into an ordered sequence where the final decision is made by a single internal model…

State Field Coverage: A Metric for Oracle Quality
Facundo Molina, Nazareno Aguirre, Alessandra Gorla
https://arxiv.org/abs/2510.03071 https://arxiv.org/pdf…

State Field Coverage: A Metric for Oracle Quality
The effectiveness of testing in uncovering software defects depends not only on the characteristics of the test inputs and how thoroughly they exercise the software, but also on the quality of the oracles used to determine whether the software behaves as expected. Therefore, assessing the quality of oracles is crucial to improve the overall effectiveness of the testing process. Existing metrics have been used for this purpose, but they either fail to provide a comprehensive basis for guiding or…

Perdido numa ilha deserta, o português avista uma moça agarrada num
barril, a uns duzentos metros da praia. Imediatamente, ele pula na
šgua para ajudš-la. Assim que chegam na ilha e a moça recupera a sua
consciência, ela diz:
-- Agora, para mostrar a minha gratidão, eu vou lhe dar uma coisa
que acho que você não vê hš muito tempo.
E o portuga:
-- Não vš me dizer que tem chopp dentro do barril!

Mais uma da série "meus alunos devem me odiar": acabei de enviar esta mensagem para o whatsapp da turma de šlgebra linear rs.

🇺🇦 Auf radioeins läuft...
Metric:
🎵 Sick Muse
#NowPlaying #Metric
https://stateazure.bandcamp.com/track/metric-sick-muse-state-azure-mix
https://open.spotify.com/track/2uxLjFYEoQ7xsqfMPuwTQ9

Evaluating the Evaluators: Metrics for Compositional Text-to-Image Generation
Seyed Amir Kasaei, Ali Aghayari, Arash Marioriyad, Niki Sepasian, MohammadAmin Fazli, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban
https://arxiv.org/abs/2509.21227

Evaluating the Evaluators: Metrics for Compositional Text-to-Image Generation
Text-image generation has advanced rapidly, but assessing whether outputs truly capture the objects, attributes, and relations described in prompts remains a central challenge. Evaluation in this space relies heavily on automated metrics, yet these are often adopted by convention or popularity rather than validated against human judgment. Because evaluation and reported progress in the field depend directly on these metrics, it is critical to understand how well they reflect human preferences. …

Moody Urbanity - Relations III 🧶
情绪化城市 - 关系 III 🧶
📷 Minolta Hi-Matic AF
🎞️ Shanghai GP3 400 Pan
#filmphotography #Photography #blackandwhite

📉 Sensors reveal surprising drop in methane emissions after flooding in coastal wetlands
#wetlands

Sensors reveal surprising drop in methane emissions after flooding in coastal wetlands
University of Toledo environmental researchers trooped through the woods and wetlands of the Ottawa National Wildlife Refuge for a week in early June. Their mission? To outfit an approximately 16-acre site with nearly 300 sensors that will constantly monitor a slew of metrics related to the soil, water and plants, including the flow of sap through trees.

Regression Language Models for Code
Yash Akhauri, Xingyou Song, Arissa Wongpanich, Bryan Lewandowski, Mohamed S. Abdelfattah
https://arxiv.org/abs/2509.26476 https://

Regression Language Models for Code
We study code-to-metric regression: predicting numeric outcomes of code executions, a challenging task due to the open-ended nature of programming languages. While prior methods have resorted to heavy and domain-specific feature engineering, we show that a single unified Regression Language Model (RLM) can simultaneously predict directly from text, (i) the memory footprint of code across multiple high-level languages such as Python and C++, (ii) the latency of Triton GPU kernels, and (iii) the …