8 citations · 9 across the 8 of their papers we have counts for
9 papers
CALOS: Control-Affine Lyapunov On-manifold Safety Layer for Safe Deep Reinforcement Learning for Quadrotors
Fabrizio Cesareo, Sebastiano Mengozzi, Nicola Mimmo +1
Deep Reinforcement Learning has demonstrated remarkable capability in quadrotor control, yet learned policies offer no guarantee of respecting safety constraints during training or…
Beyond Foundation Models: Dimension-Aware Neural Architecture Search with Small-Data Representation Models for Cryocooler Lifetime Prediction
Gregor Molan, Grafika Jati, Francesco Barchi +3
Large-scale pretrained time-series models achieve strong results through large-scale pretraining and task-agnostic representation learning, but they rely on abundant, diverse data…
CVA6-CFI: A First Glance at RISC-V Control-Flow Integrity Extensions
Simone Manoni, Emanuele Parisi, Riccardo Tedeschi +3
This work presents the first design, integration, and evaluation of the standard RISC-V extensions for Control-Flow Integrity (CFI). The Zicfiss and Zicfilp extensions aim at prote…
Physics-Informed Neural Networks for Nonlinear Output Regulation
Sebastiano Mengozzi, Giovanni B. Esposito, Michelangelo Bin +3
This work addresses the full-information output regulation problem for nonlinear systems, assuming the states of both the plant and the exosystem are known. In this setting, perfec…
Monte Cimone v2: Down the Road of RISC-V High-Performance Computers
Emanuele Venieri, Simone Manoni, Gabriele Ceccolini +6
Many RISC-V (RV) platforms and SoCs have been announced in recent years targeting the HPC sector, but only a few of them are commercially available and engineered to fit the HPC re…
SpikeStream: Accelerating Spiking Neural Network Inference on RISC-V Clusters with Sparse Computation Extensions
Simone Manoni, Paul Scheffler, Luca Zanatta +3
Spiking Neural Network (SNN) inference has a clear potential for high energy efficiency as computation is triggered by events. However, the inherent sparsity of events poses challe…
Unleashing OpenTitan's Potential: a Silicon-Ready Embedded Secure Element for Root of Trust and Cryptographic Offloading
Maicol Ciani, Emanuele Parisi, Alberto Musa +7
The rapid advancement and exploration of open-hardware RISC-V platforms are driving significant changes in sectors like autonomous vehicles, smart-city infrastructure, and medical…
Assessing the Performance of OpenTitan as Cryptographic Accelerator in Secure Open-Hardware System-on-Chips
Emanuele Parisi, Alberto Musa, Maicol Ciani +4
RISC-V open-source systems are emerging in deployment scenarios where safety and security are critical. OpenTitan is an open-source silicon root-of-trust designed to be deployed in…
TitanCFI: Toward Enforcing Control-Flow Integrity in the Root-of-Trust
Emanuele Parisi, Alberto Musa, Simone Manoni +5
Modern RISC-V platforms control and monitor security-critical systems such as industrial controllers and autonomous vehicles. While these platforms feature a Root-of-Trust (RoT) to…