4 Contributo in Atti di Convegno (Proceeding)

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Enhancing Usability in E-Voting Systems: Balancing Security and Human Factors with the HC3 Framework

A smashed glass cannot be full: Generation of Commonsense Explanations through Prompt-based Few-shot Learning

We assume that providing explanations is a process to elicit implicit knowledge in human communication, and propose a general methodology to generate commonsense explanations from pairs of semantically related sentences. We take advantage of both prompting applied to large, encoder-decoder pre-trained language models, and few-shot learning techniques, such as pattern-exploiting training. Experiments run on the e-SNLI dataset show that the proposed method achieves state-of-the-art results on t...

Turn-by-turn measurements of the energy spread at negative momentum compaction factor at KARA

The Karlsruhe Research Accelerator (KARA), the storage ring at KIT, allows short electron bunch operation with positive as well as negative momentum compaction factor. For both cases, the beam dynamics are studied. Using a line array camera KALYPSO (KArlsruhe Linear arraY detector for MHz rePetition rate SpectrOscopy), based on TI-LGAD, the horizontal intensity distribution of the emitted visible part of the synchrotron radiation is measured at a 5-degree port of a bending magnet on a turn-by...

Building the Cloud Continuum with REAR

The computing continuum combines computational resources and services from edge to cloud, promising enhanced efficiency and resilience with respect to the traditional siloed-based approach. This study presents the REAR (Resource Advertisement and Reservation) protocol, which tackles the complexities of managing resources within this continuum. REAR establishes standardized interfaces to enable interoperability, enhances resource allocation efficiency, and maintains security measures for workl...

Online Learning and Model Pruning Against Concept Drifts in Edge Devices

The proliferation of Internet of Things sensors has driven the adoption of the edge computing paradigm, which prioritizes processing the data close to the source to minimize data transfer to cloud servers, reduce latency, and enhance privacy and robustness. However, edge computing environments present limited computational power, storage capacity, and a non-negligible risk of cyber-attacks.This paper tackles the challenges of deploying Intrusion and/or Anomaly Detection Systems (I/ADSs) at th...

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