N. Canino, G. Mazzini, D. Rossi and S. Saponara, "RERI-Compliant RAS in Multilevel EDAC-Protected Cache Memories: The ENGAGE-V Framework," 39th DFTS, IEEE, 2026.

Cache memories are the dominant source of soft-error vulnerability in modern computing systems, contributing most of the processor-level failure rate in RISC-V architectures deployed in fault-prone environments. In these systems, a standard approach to...

N. Canino, G. Mazzini, M. Brabirotta, M. Olivieri, D. Rossi and S. Saponara, "RAS Enhancement of ECC-Protected Vector Register File for the RISC-V Architecture via RERI-Compliant Interface," 32nd IOLTS, 2026, IEEE.

High-performance computing (HPC) systems increasingly rely on vector architectures to provide the scalability and parallelism required for large-scale data processing. The RISC-V Vector Extension (RVV), defined within the open and modular RISC-V...

Unveiling coastal habitats: A first robotic perspective on the Mediterranean dune monitoring

This study presents an interdisciplinary approach to monitoring vulnerable Mediterranean coastal dune habitats by integrating robotic and artificial intelligence technologies into traditional monitoring methods. The unstructured nature of coastal dunes...

Cerulli, A., Cima, L., Tessa, B., Tardelli, S., & Cresci, S. (2026). The Big Ban Theory: A Pre-and Post-Intervention Dataset of Online Content Moderation Actions. In Proceedings of the International AAAI Conference on Web and Social Media.

Online platforms rely on moderation interventions to curb harmful behavior such as hate speech, toxicity, and the spread of mis- and disinformation. Yet research on the effects and possible biases of such interventions faces multiple limitations. For...

Ricco, E., Onofri, E., Cima, L., Cresci, S. & Di Pietro, R. (2026). A Geometric Analysis of Small-sized Language Model Hallucinations. In Proceedings of ICML

Hallucinations—plausible but factually incorrect responses—pose a major challenge to the reliability of Large Language Models (LLMs), especially in multi-step or agentic settings. Existing work largely frames hallucinations as a consequence of missing...

Taday, E., Cima, L., Fagni, T., Avvenuti, M. & Cresci, S. (2026). Assessing the Reliability of Persona-Conditioned LLMs as Synthetic Survey Respondents. In Companion Publication of the ACM on Web Conference.

Using persona-conditioned LLMs as synthetic survey respondents has become a common practice in computational social science and agent-based simulations. Yet, it remains unclear whether multi-attribute persona prompting improves LLM reliability or...

Tardelli, S., Alvisi, L., Cima, L., Cresci, S., & Tesconi, M. (2026). Emoji Reactions on Telegram: Unreliable Indicators of Emotional Resonance. In 15th Workshop on Computational Approaches to Subjectivity, Sentiment Social Media Analysis (WASSA)

Emoji reactions are a frequently used feature of messaging platforms, yet their communicative role remains understudied. Prior work on emojis has focused predominantly on in-text usage, showing that emojis embedded in messages tend to amplify and...

Baradel, Lavezzo, Menin, De Almeida, Scilingo, Nardelli, Hüppi, Dondi, Barcos-Munoz, Filippa, "The origins of embodiment: behavioral and cardiovascular responses to music in very preterm newborns" Sci Rep (2026)

Music perception in newborns is predominantly investigated through brain-based data, while the role of physiological and bodily responses remains underexplored. This study addresses this gap by assessing behavioral and physiological responses to music...

Lavezzo, Bhadra, Ceravolo, Hüppi, Scilingo, Grandjean, Péron, Nardelli, Filippa "On human synchrony: A systematic review of the origins of physiological and neural synchrony in parent-infant dyads (0-12 months)" Neurosci. Biobehav. Rev., 2026

Parent-infant synchrony is as a dynamic, bi-directional, multimodal process through which partners mutually adjust their physiological, neural, and behavioral states in time. Here, we systematically reviewed the available evidence on parent–infant...

C. Sandri, R. Di Rienzo, A. Deiaco, M. Morelli, G. Cristofoli, S. Cazzanti, F. Baronti, R. Roncella, R. Saletti, "Sodium-ion batteries: A review of modeling, safety, and state estimation techniques", Journal of Energy Storage, vol.163, 122120, 2026

Sodium-ion batteries are attracting growing interest as potential alternatives to lithium-ion batteries, with first commercial products already making their way into the market. Their primary advantages include the low cost and abundance of raw...

L. Crocetti, E. Noccetti, P. Nannipieri, S. Di Matteo, I. Sarno and S. Saponara, "A Robust and Portable All-Digital TRNG Circuit for Extending the Instruction Set Architecture of RISC-V Processors," in IEEE Access, vol. 13, pp. 201741-201749, 2025, d

Antonelli, G., Biondi, A., Caiti, A., Chiaverini, S., Costanzi, R., Di Lillo, P., ... & Munafò, A. (2026). Towards a multi-robot architecture for bearing-only tracking of underwater acoustic sources using vector sensors. Ocean Engineering, 353, 12471

This paper presents a multi-vehicle distributed system for the real-time estimation of the position of an underwater acoustic source, based on Direction of Arrival (DOA) observations obtained through onboard Acoustic Vector Sensors (AVSs) mounted on...

Kumar, Vinay, Claudio Cicconetti, Riccardo Bassoli, Marco Conti, and Andrea Passarella. "Instruction-Set Architecture for Programmable NV-Center Quantum Repeater Nodes." arXiv preprint arXiv:2602.14995 (2026).

Abstract—Programmability is increasingly central in emerging quantum network software stacks, yet the node-internal controller-to-hardware interface for quantum repeater devices remains under-specified. We introduce the idea of an instruction-set...

L. Ciacchini et al., "Enabling the Hardware Acceleration of Residual Layers within the FPG-AI Framework for Space Applications", 2025 European Data Handling & Data Processing Conference, Elche, Spain

L. Ciacchini, T. Bocchi, T. Pacini, P. Nannipieri, L. Fanucci Abstract: Artificial Intelligence, particularly Convolutional Neural Networks (CNNs), plays a key role in satellite image processing, enabling tasks such as object detection, classification,...

P. Usai, G. Sabatini, D. Brizi and A. Monorchio, "Optically Transparent Frequency Selective Surfaces for Electromagnetic Shielding in Cybersecurity Applications", Applied Sciences, vol. 16, no. 2, 821, January 2026

Abstract: With the widespread diffusion of personal Internet of Things (IoT) devices, Electromagnetic Side-Channel Attacks (EM-SCAs), which exploit electromagnetic emissions to uncover critical data such as cryptographic keys, are becoming extremely...

E. Giusti, P. Usai, D. Brizi and A. Monorchio, "Smart Absorbing Material Positioning for Bistatic RCS Reduction: A Reinforcement Learning Approach," 2025 IEEE International Symposium on Antennas and Propagation

Abstract: Fully covering a metallic target with a radar absorbing material is the most effective way to reduce its radar signature although not always practically viable especially for large surfaces. Conversely, randomly positioning radarabsorbing...

F. Fiorini, R. G. Garroppo, M. Pagano, "Threshold-Based Eavesdropper Detection for Partial Intercept-Resend Attack in Noisy BB84 Quantum Key Distribution", Computer Networks 2026

Quantum Key Distribution (QKD) protocols are critical for ensuring secure communication against the threats posed by post-quantum technologies. Among these, the BB84 protocol remains the most widely studied and implemented QKD scheme, providing a...

F. Fiorini, J. Wu, D. M. Kurkcuoglu, A. Cameron, R. G. Garroppo, M. Pagano, S. Zorzetti, "Fidelity Comparison of Time-Bin and Fock State Encoding in Hybrid Quantum Systems Under Channel and Transduction Effects", IEEE ICC 2026, Glasgow (UK)

Future quantum networks are expected to integrate a heterogeneous combination of quantum systems, owing to the diverse advantages offered by different physical platforms in terms of scalability, coherence times, and interfacing capabilities. Within the...

F. Fiorini, R. G. Garroppo, M. Pagano, S. Pini, "A Simulation Framework for Performance and Security Analysis of the SARG04 Quantum Key Distribution Protocol under Two Attack Strategies", IEEE ICC 2026, Glasgow (UK)

Among the various quantum key distribution (QKD) protocols, SARG04 was proposed as a modification of the wellknown BB84 protocol to enhance its resilience against sophisticated eavesdropping strategies, particularly the Photon Number Splitting (PNS)...

F. Fiorini, R. G. Garroppo, M. Pagano, R. Schiavini Yadzhak, "Eavesdropper Detection in Six-State Protocol Against Partial Intercept–Resend Attack", Future Internet, October 2025

This work presents and evaluates two threshold-based detection methods for the Six-State quantum key distribution protocol, considering a realistic scenario involving partial intercept–resend attack and channel noise. The statistical properties of the...