Undergrad

• Ahmed Hamido Hassan Saad Omar, Advancing Vehicle Damage Detection with Diffusion Models and Transformers, Master in Data Science, January 2024

• Matteo De Sanctis, Beyond Gradient Descent for Deep Learning: Assessing the Volume Bias Hypothesis through Particle Swarm Optimization, Bachelor in Applied Computer Science and Artificial Intelligence (ACSAI), December 2023

• Mujtaba Hussain Mirza, Probing the Energy Landscape of Discriminative Classifiers with Adversarial Perturbations, Master in Computer Science, October 2023

• Alessio Borgi, Building Real-Time Multivariate Anomaly Detection Systems in Industry’s 5G Networks: A Comprehensive Workflow, Bachelor in Applied Computer Science and Artificial Intelligence (ACSAI), October 2023

• Khand Zeeshan Hussain, Protecting Users from Face Recognition Systems using Adversarial Machine Learning, Master in Computer Science, February 2023

• Senad Beadini, On The Sensitivity and Uncertainty of Convolution Neural Networks to Adversarial Perturbations, Master in Computer Science, October 2022