Tootfinder

✨ Spring SIGs wrapped! ✨
From Prague to Paris to Ispra, 4 GÉANT Special Interest Groups (SIGs) met to explore AI, Time & Frequency networks, service strategy development, and network operations.
Spring days packed with great ideas, useful insights, new collaborations, and our beloved Lightning Talks.
👏 Big thanks to CESNET, RENATER, EC JRC & all who joined in-person and online.
Catch up on all the highlights and takeaways here 👉

GÉANT Community Programme | GÉANT CONNECT Online
The GÉANT community programme supports research and education through the activities of Special Interest Groups and Task Forces and connects academia, the business community and governmental organisations.

A Framework for Auditing Chatbots for Dialect-Based Quality-of-Service Harms
Emma Harvey, Rene F. Kizilcec, Allison Koenecke
https://arxiv.org/abs/2506.04419

A Framework for Auditing Chatbots for Dialect-Based Quality-of-Service Harms
Increasingly, individuals who engage in online activities are expected to interact with large language model (LLM)-based chatbots. Prior work has shown that LLMs can display dialect bias, which occurs when they produce harmful responses when prompted with text written in minoritized dialects. However, whether and how this bias propagates to systems built on top of LLMs, such as chatbots, is still unclear. We conduct a review of existing approaches for auditing LLMs for dialect bias and show tha…

Automated Mechanism to Support Trade Transactions in Smart Contracts with Upgrade and Repair
Christian Gang Liu, Peter Bodorik, Dawn Jutla
https://arxiv.org/abs/2506.03877

Automated Mechanism to Support Trade Transactions in Smart Contracts with Upgrade and Repair
In our previous research, we addressed the problem of automated transformation of models, represented using the business process model and notation (BPMN) standard, into the methods of a smart contract. The transformation supports BPMN models that contain complex multi-step activities that are supported using our concept of multi-step nested trade transactions, wherein the transactional properties are enforced by a mechanism generated automatically by the transformation process from a BPMN mode…

This https://arxiv.org/abs/2411.17931 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Combining Threat Intelligence with IoT Scanning to Predict Cyber Attack
While the Web has become a global platform for communication, malicious actors, including hackers and hacktivist groups, often disseminate ideological content and coordinate activities through the "Dark Web", an obscure counterpart of the conventional web. Presently, challenges such as information overload and the fragmented nature of cyber threat data impede comprehensive profiling of these actors, thereby limiting the efficacy of predictive analyses of their online activities. Concurrently, t…

Check out my walk on Strava.
https://www.strava.com/activities/14629716750

Stroll through the Zoo | Strava
View Falko Zurell's walk on 29. Mai 2025 | Strava

In Los Angeles wird es am Wochenende heiß und feucht. Temperaturen bis über 37 Grad werden in den Tälern und Wüsten erwartet.
Dazu kommt #tropische Feuchtigkeit durch #Sturm Alvin, was lokal zu #Gewittern

California heat wave expected to break records this weekend
Large swaths of California are under heat advisories Friday and Saturday with officials cautioning against outdoor activities in triple-digit areas.

As Elon Musk became one of Donald J. Trump’s closest allies last year, leading raucous rallies and donating about $275 million to help him win the presidency,
he was also using drugs far more intensely than previously known, according topeople familiar with his activities.
Musk’s drug consumption went well beyond occasional use.
He told people he was taking so much ketamine, a powerful anesthetic, that it was affecting his bladder, a known effect of chronic use.
He to…

Elon Musk Juggled Drugs and Family Drama on Trump’s Campaign Trail
As Mr. Musk entered President Trump’s orbit, his private life grew increasingly tumultuous and his drug use was more intense than previously known.

The U.S. State Facing “Unlivable” Heat by 2030 https://weather-fox.com/the-u-s-state-facing-unlivable-heat-by-2030-1-316105/?utm_source=dlvr.it&utm_content=topic/climate&ut…

The U.S. State Facing “Unlivable” Heat by 2030
Imagine a place in the United States where stepping outside feels like walking into an oven—where summer days sizzle with such intensity that even basic outdoor activities become dangerous.

Universal band center model for the HER activity of non-metal site
Ruixin Xu, Shiqian Cao, Tingting Bo, Yanyu Liu, Wei Zhou
https://arxiv.org/abs/2506.02567

Universal band center model for the HER activity of non-metal site
In this work, the hydrogen evolution reaction activities of non-metal sites in the transition metal dichalcogenides with the stoichiometry of MX2 are investigated using the first principles calculations. The trained machine learning model demonstrates that the pz band center, bandgap, and period effect are the key factors influencing the HER activity of MX2. Furthermore, it also reveals that the observed non-scaling law between the pz band center and HER activity in the semiconductor-like mater…

Prediction of the Conditional Probability Densities of Time Interval Extrema for Risk-Sensitive Scheduling
Buyi Yu, Wenyuan Tang
https://arxiv.org/abs/2506.01358

Prediction of the Conditional Probability Densities of Time Interval Extrema for Risk-Sensitive Scheduling
Planning and scheduling activities in the electrical power system, such as the commitment of reserve generation, often involve statistical characterization of peak demand. Extreme Value Analysis (EVA)-based probabilistic assessments of annual peaks are widely adopted by energy regulatory and oversight agencies to determine the likelihood and severity of potential energy shortfalls. Due to the inability of classical EVA to account for peak distributions that change with annual extreme temperatur…

Symbolic Higher-Order Analysis of Multivariate Time Series
Andrea Civilini, Fabrizio de Vico Fallani, Vito Latora
https://arxiv.org/abs/2506.00508 https://…

Symbolic Higher-Order Analysis of Multivariate Time Series
Identifying patterns of relations among the units of a complex system from measurements of their activities in time is a fundamental problem with many practical applications. Here, we introduce a method that detects dependencies of any order in multivariate time series data. The method first transforms a multivariate time series into a symbolic sequence, and then extract statistically significant strings of symbols through a Bayesian approach. Such motifs are finally modelled as the hyperedges …

This https://arxiv.org/abs/2308.16061 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Conti Inc.: Understanding the Internal Discussions of a large Ransomware-as-a-Service Operator with Machine Learning
Ransomware-as-a-service (RaaS) is increasing the scale and complexity of ransomware attacks. Understanding the internal operations behind RaaS has been a challenge due to the illegality of such activities. The recent chat leak of the Conti RaaS operator, one of the most infamous ransomware operators on the international scene, offers a key opportunity to better understand the inner workings of such organizations. This paper analyzes the main topic discussions in the Conti chat leak using machin…

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System
Giovanny C-Londo\~no, Javier S\'anchez, \'Angel Rodr\'iguez-Santana
https://arxiv.org/abs/2505.24429

Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System
Oceanographic forecasting impacts various sectors of society by supporting environmental conservation and economic activities. Based on global circulation models, traditional forecasting methods are computationally expensive and slow, limiting their ability to provide rapid forecasts. Recent advances in deep learning offer faster and more accurate predictions, although these data-driven models are often trained with global data from numerical simulations, which may not reflect reality. The emer…

Urban Discoveries II 🌆
都市发现 II 🌆
📷 Pentax MX
🎞️Lucky SHD 400
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

Yiding Cao Geld mit PayPal.Me senden
Folgen Sie dem Link PayPal.Me/dingsterdingster und geben Sie den Betrag ein. Es ist bequem und sicher. Sie haben noch kein PayPal-Konto? Kein Problem.

This https://arxiv.org/abs/2406.02463 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Click Without Compromise: Online Advertising Measurement via Per User Differential Privacy
Online advertising is a cornerstone of the Internet ecosystem, with advertising measurement playing a crucial role in optimizing efficiency. Ad measurement entails attributing desired behaviors, such as purchases, to ad exposures across various platforms, necessitating the collection of user activities across these platforms. As this practice faces increasing restrictions due to rising privacy concerns, safeguarding user privacy in this context is imperative. Our work is the first to formulate …

Identity resolution of software metadata using Large Language Models
Eva Mart\'in del Pico, Josep Llu\'is Gelp\'i, Salvador Capella-Guti\'errez
https://arxiv.org/abs/2505.23500

Identity resolution of software metadata using Large Language Models
Software is an essential component of research. However, little attention has been paid to it compared with that paid to research data. Recently, there has been an increase in efforts to acknowledge and highlight the importance of software in research activities. Structured metadata from platforms like bio.tools, Bioconductor, and Galaxy ToolShed offers valuable insights into research software in the Life Sciences. Although originally intended to support discovery and integration, this metada…

Exposing the Impact of GenAI for Cybercrime: An Investigation into the Dark Side
Truong (Jack), Luu, Binny M. Samuel
https://arxiv.org/abs/2505.23733 http…

Exposing the Impact of GenAI for Cybercrime: An Investigation into the Dark Side
In recent years, the rapid advancement and democratization of generative AI models have sparked significant debate over safety, ethical risks, and dual-use concerns, particularly in the context of cybersecurity. While anecdotally known, this paper provides empirical evidence regarding generative AI's association with malicious internet-related activities and cybercrime by examining the phenomenon through psychological frameworks of technological amplification and affordance theory. Using a quas…

Urban Discoveries II 🌆
都市发现 II 🌆
📷 Pentax MX
🎞️Lucky SHD 400
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

Yiding Cao Geld mit PayPal.Me senden
Folgen Sie dem Link PayPal.Me/dingsterdingster und geben Sie den Betrag ein. Es ist bequem und sicher. Sie haben noch kein PayPal-Konto? Kein Problem.

Upcoming GÉANT infoshare - Part 2 🚀
🔹 Network eAcademy Infoshare
Hear about latest developments in the GÉANT #Network #eAcademy, what’s new across different tracks from Automation to Artificial Intelligence to Quantum Technologies and Optical Time and Frequency Networks (OTFN).
👥 Hoste…

Infoshare: Network eAcademy
The Network eAcademy is a service created to help and support organisations in human capital development in Network-development-related domains. Among the activities the Network eAcademy team is developing, we can find the publication of contents around orchestration, automation and virtualisation, such as architecture analysis, terminology or a Maturity Model, and training programmes “from the community for the community”. The training programmes are continuously developed, with...