Giorgio Buttazzo

Achieving up to 20x faster anomaly segmentation for autonomous vehicles could revolutionize onboard safety systems.

Adversarial decoys can effectively misdirect attention-based defenses, revealing that attention magnitude is not a reliable indicator of adversarial relevance.

Surprisingly, even a non-robust pre-trained model can be adapted at test-time to achieve significantly better adversarial robustness than existing methods, using a novel label-free semantic anchoring technique.

Bridging the sim-to-real gap in railway perception, a new augmented reality framework generates realistic training data by seamlessly integrating virtual objects into real-world railway scenes, outperforming traditional methods.