Tootfinder

eDIF: A European Deep Inference Fabric for Remote Interpretability of LLM
Irma Heithoff. Marc Guggenberger, Sandra Kalogiannis, Susanne Mayer, Fabian Maag, Sigurd Schacht, Carsten Lanquillon
https://arxiv.org/abs/2508.10553

eDIF: A European Deep Inference Fabric for Remote Interpretability of LLM
This paper presents a feasibility study on the deployment of a European Deep Inference Fabric (eDIF), an NDIF-compatible infrastructure designed to support mechanistic interpretability research on large language models. The need for widespread accessibility of LLM interpretability infrastructure in Europe drives this initiative to democratize advanced model analysis capabilities for the research community. The project introduces a GPU-based cluster hosted at Ansbach University of Applied Scienc…

Entangled Threats: A Unified Kill Chain Model for Quantum Machine Learning Security
Pascal Debus, Maximilian Wendlinger, Kilian Tscharke, Daniel Herr, Cedric Br\"ugmann, Daniel Ohl de Mello, Juris Ulmanis, Alexander Erhard, Arthur Schmidt, Fabian Petsch
https://arxiv.org/abs/2507.08623

Entangled Threats: A Unified Kill Chain Model for Quantum Machine Learning Security
Quantum Machine Learning (QML) systems inherit vulnerabilities from classical machine learning while introducing new attack surfaces rooted in the physical and algorithmic layers of quantum computing. Despite a growing body of research on individual attack vectors - ranging from adversarial poisoning and evasion to circuit-level backdoors, side-channel leakage, and model extraction - these threats are often analyzed in isolation, with unrealistic assumptions about attacker capabilities and syst…

Sub-nanosecond structural dynamics of the martensitic transformation in Ni-Mn-Ga
Yuru Ge, Fabian Ganss, Daniel Schmidt, Daniel Hensel, Mike J. Bruckhoff, Sakshath Sadashivaiah, Bruno Neumann, Mariana Brede, Markus E. Gruner, Peter Gaal, Klara L\"unser, Sebastian F\"ahler
https://arxiv.org/abs/2509.06513

Sub-nanosecond structural dynamics of the martensitic transformation in Ni-Mn-Ga
Martensitic transformations drive a multitude of emerging applications, which range from high stroke actuation and, mechanocaloric refrigeration, to thermoelastic energy harvesting. All these applications benefit from faster transformations, as a high cycle frequency is essential for achieving high power density. However, systematic investigations of the fast dynamics and fundamental speed limits of martensitic transformations are scarce. Especially for ultrashort time transformations, the temp…