1 citations · 1 across the 3 of their papers we have counts for
5 papers
Tiny Machine-Learning Operations within Cyber-Physical Systems: a Field Study
Filippo Scaramuzza, Damian A. Tamburri
Machine-Learning Operations (MLOps) is maturing into a software-engineering discipline, yet its tiny-scale variant (TinyMLOps)-targeting the resource-constrained microcontrollers e…
Data Product MCP: Chat with your Enterprise Data
Marco Tonnarelli, Filippo Scaramuzza, Simon Harrer +1
Computational data governance aims to make the enforcement of governance policies and legal obligations more efficient and reliable. Recent advances in natural language processing…
"Show Me You Comply... Without Showing Me Anything": Zero-Knowledge Software Auditing for AI-Enabled Systems
Filippo Scaramuzza, Renato Cordeiro Ferreira, Giovanni Quattrocchi +2
Classical software verification and validation techniques, such as procedural audits, formal methods, or model documentation, are the traditional mechanisms used to achieve the ver…
Accountability of Robust and Reliable AI-Enabled Systems: A Preliminary Study and Roadmap
Filippo Scaramuzza, Damian A. Tamburri, Willem-Jan van den Heuvel
This vision paper presents initial research on assessing the robustness and reliability of AI-enabled systems, and key factors in ensuring their safety and effectiveness in practic…
Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs
Filippo Scaramuzza, Giovanni Quattrocchi, Damian A. Tamburri
As Artificial Intelligence (AI) systems, particularly those based on machine learning (ML), become integral to high-stakes applications, their probabilistic and opaque nature poses…