198 citations
- Polish Academy of SciencesPL25 papers
- Institute of Molecular Physics of the Polish Academy of SciencesPL19 papers
- Adam Mickiewicz University in PoznańPL13 papers
- Institute of PhysicsPL11 papers
- Institute of MathematicsPL9 papers
- Centre National de la Recherche ScientifiqueFR8 papers
- Laboratoire d'Informatique pour la Mécanique et les Sciences de l'IngénieurFR7 papers
- Technische Universität BerlinDE7 papers
- Université Paris-SaclayFR7 papers
- Harbin Institute of TechnologyCN6 papers
- Institut des Sciences de la Mécanique et Applications IndustriellesFR6 papers
- École Nationale Supérieure de Techniques AvancéesFR5 papers
237 papers
WIP: Energy-Efficient LLM-Based Serving Cluster Formulation in Cell-Free Massive MIMO
Marcin Hoffmann, Paweł Kryszkiewicz
One way to increase the Energy Efficiency (EE) of 6G wireless networks is to utilize existing network infrastructure more efficiently. This can be achieved by introducing User-Cent…
Combining Frozen Trajectory Excitation and TACAW for in silico Time-Resolved Vibrational Electron Energy Loss/Gain Spectroscopy
Wojciech Marciniak, Joanna Marciniak, José Ángel Castellanos-Reyes +1
Seeing that ultrafast (picosecond timescale) vibrational electron energy loss spectroscopy (EELS) should soon be experimentally realizable, we present in silico approach capable of…
Opportunities and Limitations of GenAI in RE: Viewpoints from Practice
Anne Hess, Andreas Vogelsang, Xavier Franch +3
Context and motivation: With the rapid advancement of AI technologies, there is an increasing need to understand how AI can be effectively integrated into RE processes. In recent y…
On the Vulnerability of Deep Automatic Modulation Classifiers to Explainable Backdoor Threats
Younes Salmi, Hanna Bogucka
Deep learning (DL) has been widely studied for assisting applications of modern wireless communications. One of the applications is automatic modulation classification (AMC). Howev…
Physical Backdoor Attack Against Deep Learning-Based Modulation Classification
Younes Salmi, Hanna Bogucka
Deep Learning (DL) has become a key technology that assists radio frequency (RF) signal classification applications, such as modulation classification. However, the DL models are v…
Mitigating Evasion Attacks in Fog Computing Resource Provisioning Through Proactive Hardening
Younes Salmi, Hanna Bogucka
This paper investigates the susceptibility to model integrity attacks that overload virtual machines assigned by the k-means algorithm used for resource provisioning in fog network…