Completed Thesis

  • Christian Gennarelli, 3D point cloud reconstruction using closed-form diffusion models, Bachelor in Applied Computer Science and Artificial Intelligence (ACSAI), October 2024

  • Filippo Wang, Classifier-free Diffusion Guidance with a Robust Energy-based Classifier, Bachelor in Applied Computer Science and Artificial Intelligence (ACSAI), July 2024

  • Andrea Salinetti, Generating images from text by inverting CLIP, Bachelor in Applied Computer Science and Artificial Intelligence (ACSAI), July 2024

  • 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