Fabio Roli

A Neural Rejection System Against Universal Adversarial Perturbations in Radio Signal Classification

2021 · 2021 IEEE Global Communications Conference (GLOBECOM)

Advantages of deep learning over traditional methods have been demonstrated for radio signal classification in the recent years. However, various researchers have discovered that even a small but intentional feature perturbation known as adversarial examples …

Vision Transformer With Adversarial Indicator Token Against Adversarial Attacks in Radio Signal Classifications

2025 · IEEE Internet of Things Journal

The remarkable success of transformers across various fields such as natural language processing and computer vision has paved the way for their applications in automatic modulation classification, a critical component in the communication systems of …

Evaluating the robustness of explainable AI in medical image recognition under natural and adversarial data corruption

2025 · Machine Learning

Abstract The integration of Explainable AI (XAI) into healthcare promises greater transparency and interpretability of machine learning models, enabling clinicians to understand predictions and make more reliable medical decisions. Yet, the robustness of XAI methods …