How Realistic Should Synthetic Images Be for Training Crowd Counting Models? - Emanuele Ledda; Lorenzo Putzu; Rita Delussu; Andrea Loddo; Giorgio Fumera (CAIP (2), 2021)

Applying Long-Short Term Memory Recurrent Neural Networks for Real-Time Stroke Recognition. - Emanuele Ledda; Lucio Davide Spano (EICS, 2021)

On the Evaluation of Video-Based Crowd Counting Models. - Emanuele Ledda; Lorenzo Putzu; Rita Delussu; Giorgio Fumera; Fabio Roli (ICIAP (3), 2022)

Adversarial Attacks Against Uncertainty Quantification. - Emanuele Ledda; Daniele Angioni; Giorgio Piras; Giorgio Fumera; Battista Biggio; Fabio Roli (ICCV (Workshops), 2023)

Human-in-the-Loop Person Re-Identification as a Defence Against Adversarial Attacks. - Rita Delussu; Lorenzo Putzu; Emanuele Ledda; Giorgio Fumera (ICIAP Workshops (1), 2023)

BLUES: Before-reLU-EStimates Bayesian Inference for Crowd Counting. - Emanuele Ledda; Rita Delussu; Lorenzo Putzu; Giorgio Fumera; Fabio Roli (ICIAP (2), 2023)

Evaluation of Robustness Metrics for Defense of Machine Learning Systems. - J. DeMarchi; R. Rijken; J. Melrose; B. Madahar; Giorgio Fumera; Fabio Roli; Emanuele Ledda; Metin Aktas; Frank Kurth; Paul M. Baggenstoss; Björn Pelzer; L. Kanestad (ICMCIS, 2023)

Trustworthy AI in Video Surveillance: The IMMAGINA Project. - Emanuele Ledda; Lorenzo Putzu; Rita Delussu; Giorgio Fumera; Fabio Roli (Ital-IA, 2023)

Dropout injection at test time for post hoc uncertainty quantification in neural networks. - Emanuele Ledda; Giorgio Fumera; Fabio Roli (Inf. Sci., 2023)

On the Robustness of Adversarial Training Against Uncertainty Attacks. - Emanuele Ledda; Giovanni Scodeller; Daniele Angioni; Giorgio Piras; Antonio Emanuele Cinà; Giorgio Fumera; Battista Biggio; Fabio Roli (CoRR, 2024)