AI4I \ R&D Labs

\ AIS

People & Contacts

AI4I \ R&D Lab \
AI Security

AI4I
The Italian Institute
for Artificial Intelligence
for Industry

AIS
AI Security
https://ais.rd-labs.ai4i.it
ais@ai4i.it

Principal Investigator

✉️ nicola.franco@ai4i.it

Dr. Nicola Franco

Research Director

Dr. Nicola Franco directs the AI Security (AIS) Lab. He is a former research scientist at the Fraunhofer Institute for Cognitive Systems in Munich, where he conducted research on adversarial machine learning in Prof. Jeanette Miriam Lorenz’s group and collaborated extensively with industry partners and public agencies. He holds a Ph.D. in Machine Learning, awarded cum laude, from the Technical University of Munich. His contributions earned him the Best Paper Award in AI Safety at the 2023 IJCAI conference.

Our Team

Simone Gallivanone

Dr. Simone Gallivanone

Research Scientist

Dr. Galllivanone holds a PhD in Mathematics, with a background in differential geometry and microlocal analysis. His research interests include adversarial machine learning, with a focus on applying mathematical tools to its geometric and robustness-related aspects. Outside of research, he enjoys sports and outdoor activities.

Marco Russo

Research Engineer

Marco Russo is a PhD candidate in Computer Engineering at Politecnico di Torino, where he recently submitted his dissertation on quantum computing and quantum machine learning. In 2023, he spent two months as a research scientist intern at Fermilab in Chicago, USA, working on the application of machine learning to quantum control of superconducting qubits on low-latency cryogenic electronics, aiming to achieve high-fidelity quantum gates.

Raffaele Paolino

Research Scientist

Raffaele Paolino is a Ph.D. candidate at LMU Munich and the Munich Center for Machine Learning. He recently submitted his dissertation, which focuses on the development of rigorous, high-performance, and scalable graph neural architectures. His research interests center on transforming mathematical insights into reliable ML solutions. For his work, he was awarded an Oral Presentation at NeurIPS 2024.