Tootfinder

Unsere Mitarbeiter*innen bei #nfdi4culture sind zunehmend unterwegs, um überall zu verbreiten und zu teilen, was im Rahmen der #nfdi und ihrer #Participants in den letzten Jahren an Entwicklung in den digita…

More than 25,000 residents in three provinces have been evacuated as dozens of wildfires remain active and affect air quality in parts of Canada and the US, according to officials.
Most of the evacuated residents were from Manitoba, which declared a state of emergency last week.
About 17,000 people there were evacuated by Saturday, along with 1,300 in Alberta.
About 8,000 people in Saskatchewan had been relocated as leaders there said the number could climb.
Smoke was r…

Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning
Sayyed Farid Ahamed, Sandip Roy, Soumya Banerjee, Marc Vucovich, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty
https://arxiv.org/abs/2505.23791

Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning
Federated Learning (FL) is a collaborative learning framework designed to protect client data, yet it remains highly vulnerable to Intellectual Property (IP) threats. Model extraction (ME) attacks pose a significant risk to Machine Learning as a Service (MLaaS) platforms, enabling attackers to replicate confidential models by querying black-box (without internal insight) APIs. Despite FL's privacy-preserving goals, its distributed nature makes it particularly susceptible to such attacks. This p…

Critical demand in a stochastic model of flows in supply networks
Yannick Feld, Marc Barthelemy
https://arxiv.org/abs/2505.24813 https://

Critical demand in a stochastic model of flows in supply networks
Supply networks are essential for modern production, yet their critical properties remain understudied. We present a stochastic model with random production capacities to analyze material flow to a root node, focusing on topology and buffer stocks. The critical demand, where unsatisfied demand diverges, is examined mostly through numerical simulations. Without stocks, minimal production dictates behavior, making topology irrelevant. With stocks, memory effects arise, making topology crucial. In…

Chasing Serendipity: Tackling Transient Sources with Neutrino Telescopes
Lua F. T. Airoldi, Gustavo F. S. Alves, Yuber F. Perez-Gonzalez, Gabriel M. Salla, Renata Zukanovich Funchal
https://arxiv.org/abs/2505.24652

Chasing Serendipity: Tackling Transient Sources with Neutrino Telescopes
The discovery of ultra-high-energy neutrinos by IceCube marked the beginning of neutrino astronomy. Yet, the origin and production mechanisms of these neutrinos remain open questions. With the recent observation of the highest-energy neutrino event to date by the KM3NeT collaboration, transient sources - astrophysical objects that emit particles in brief, localized bursts - have emerged as promising candidates. In this work, we revisit the identification of such sources in IceCube and future ne…

Improved Accuracy in Pelvic Tumor Resections Using a Real-Time Vision-Guided Surgical System
Vahid Danesh, Paul Arauz, Maede Boroji, Andrew Zhu, Mia Cottone, Elaine Gould, Fazel A. Khan, Imin Kao
https://arxiv.org/abs/2505.23984

Improved Accuracy in Pelvic Tumor Resections Using a Real-Time Vision-Guided Surgical System
Pelvic bone tumor resections remain significantly challenging due to complex three-dimensional anatomy and limited surgical visualization. Current navigation systems and patient-specific instruments, while accurate, present limitations including high costs, radiation exposure, workflow disruption, long production time, and lack of reusability. This study evaluates a real-time vision-guided surgical system combined with modular jigs to improve accuracy in pelvic bone tumor resections. A vision-g…

Differential contributions of low-frequency phase and power in crossmodal temporal prediction: A MEG study https://www.biorxiv.org/content/10.1101/2025.05.26.656128v1 on "tactile-to-visual influences on temporal prediction", "broad applicability of …

Differential contributions of low-frequency phase and power in crossmodal temporal prediction: A MEG study
Introduction Our representation of time is embedded within multisensory perception, based on sight, sound, or touch. However, despite being a crucial aspect of daily life, the neural dynamics of cross-modal temporal predictions remain elusive. The objective of this study was to investigate neural correlates of tactile-to-visual influences on temporal prediction using magnetoencephalography (MEG). We hypothesized to observe increased inter-trial phase consistency (ITPC) in the low-frequency delt…

This https://arxiv.org/abs/2501.10639 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks
Ensuring safety alignment has become a critical requirement for large language models (LLMs), particularly given their widespread deployment in real-world applications. However, LLMs remain susceptible to jailbreak attacks, which exploit system vulnerabilities to bypass safety measures and generate harmful outputs. Although numerous defense mechanisms based on adversarial training have been proposed, a persistent challenge lies in the exacerbation of over-refusal behaviors, which compromise the…

Efficient RAW Image Deblurring with Adaptive Frequency Modulation
Wenlong Jiao, Binglong Li, Wei Shang, Ping Wang, Dongwei Ren
https://arxiv.org/abs/2505.24407

Efficient RAW Image Deblurring with Adaptive Frequency Modulation
Image deblurring plays a crucial role in enhancing visual clarity across various applications. Although most deep learning approaches primarily focus on sRGB images, which inherently lose critical information during the image signal processing pipeline, RAW images, being unprocessed and linear, possess superior restoration potential but remain underexplored. Deblurring RAW images presents unique challenges, particularly in handling frequency-dependent blur while maintaining computational effici…

This https://arxiv.org/abs/2505.12018 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

A Human Study of Cognitive Biases in CTF Challenges
Cybersecurity training has become a crucial part of computer science education and industrial onboarding. Capture the Flag (CTF) competitions have emerged as a valuable, gamified approach for developing and refining the skills of cybersecurity and software engineering professionals. However, while CTFs provide a controlled environment for tackling real world challenges, the participants' decision making and problem solving processes remain under explored. Recognizing that psychology may play a …