Federico Nesti

Bio

PhD Student at Tecip Institute, Retis Lab (https://retis.santannapisa.it/).

My research interests are software architectures for enhancing safety and predictability of AI, deep-learning- and reinforcement-learning-based control.

I graduated in Electronics Engineering (BSc) and Robotics and Automation Engineering (MSc) with honors.

More information can be found in my CV. Last Update: Aug 2020

Publications

D'Amico, Gianluca; Nesti, Federico; Rossolini, Giulio; Marinoni, Mauro; Sabina, Salvatore; Buttazzo, Giorgio

SynDRA: Synthetic Dataset for Railway Applications Open new browser tab

(2025)
Nesti, Federico; Rossolini, Giulio; D'Amico, Gianluca; Biondi, Alessandro; Buttazzo, Giorgio

CARLA-GeAR: A Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Deep Learning Vision Models Open new browser tab

(2024)
D’Amico, Gianluca; Marinoni, Mauro; Nesti, Federico; Rossolini, Giulio; Buttazzo, Giorgio; Sabina, Salvatore; Lauro, Gianluigi

TrainSim: A Railway Simulation Framework for LiDAR and Camera Dataset Generation Open new browser tab

(2023)
Rossolini, Giulio; Nesti, Federico; Brau, Fabio; Biondi, Alessandro; Buttazzo, Giorgio

Defending from Physically-Realizable Adversarial Attacks through Internal Over-Activation Analysis Open new browser tab

(2023)
Rossolini, Giulio; Nesti, Federico; D'Amico, Gianluca; Nair, Saasha; Biondi, Alessandro; Buttazzo, Giorgio

On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving Open new browser tab

(2023)
D'Amico, G.; Marinoni, M.; Nesti, F.; Sabina, S.; Lauro, G.; Buttazzo, G. -C.

Graphic Simulation Framework of Railway Scenarios for LiDAR Dataset Generation Open new browser tab

(2022)
Nesti, Federico; Rossolini, Giulio; Nair, Saasha; Biondi, Alessandro; Buttazzo, Giorgio Carlo

Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks Open new browser tab

(2022)
Nesti, Federico; Biondi, Alessandro; Buttazzo, Giorgio

Detecting Adversarial Examples by Input Transformations, Defense Perturbations, and Voting Open new browser tab

(2021)
Pacini, M.; Nesti, F.; Biondi, A.; Buttazzo, G.

X-BaD: A flexible tool for explanation-based bias detection Open new browser tab

(2021)
DE MARINIS, Lorenzo; Nesti, Federico; Cococcioni, Marco; Andriolli, Nicola

A Photonic Accelerator for Feature Map Generation in Convolutional Neural Networks Open new browser tab

(2020)