Dropout injection at test time for post hoc uncertainty quantification in neural networks E Ledda, G Fumera, F Roli Information Sciences 645, 119356, 2023 | 10 | 2023 |
How realistic should synthetic images be for training crowd counting models? E Ledda, L Putzu, R Delussu, A Loddo, G Fumera Computer Analysis of Images and Patterns: 19th International Conference …, 2021 | 4 | 2021 |
Adversarial Attacks Against Uncertainty Quantification E Ledda, D Angioni, G Piras, G Fumera, B Biggio, F Roli Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
Applying Long-Short Term Memory Recurrent Neural Networks for Real-Time Stroke Recognition E Ledda, LD Spano Companion of the 2021 ACM SIGCHI Symposium on Engineering Interactive …, 2021 | 2 | 2021 |
Evaluation of Robustness Metrics for Defense of Machine Learning Systems J DeMarchi, R Rijken, J Melrose, B Madahar, G Fumera, F Roli, E Ledda, ... 2023 International Conference on Military Communications and Information …, 2023 | 1 | 2023 |
On the evaluation of video-based crowd counting models E Ledda, L Putzu, R Delussu, G Fumera, F Roli International Conference on Image Analysis and Processing, 301-311, 2022 | 1 | 2022 |
On the Robustness of Adversarial Training Against Uncertainty Attacks E Ledda, G Scodeller, D Angioni, G Piras, AE Cinà, G Fumera, B Biggio, ... arXiv preprint arXiv:2410.21952, 2024 | | 2024 |
Human-in-the-Loop Person Re-Identification as a Defence Against Adversarial Attacks R Delussu, L Putzu, E Ledda, G Fumera International Conference on Image Analysis and Processing, 330-342, 2023 | | 2023 |
BLUES: Before-reLU-EStimates Bayesian Inference for Crowd Counting E Ledda, R Delussu, L Putzu, G Fumera, F Roli International Conference on Image Analysis and Processing, 307-319, 2023 | | 2023 |
Trustworthy AI in Video Surveillance: The IMMAGINA Project. E Ledda, L Putzu, R Delussu, G Fumera, F Roli Ital-IA, 371-376, 2023 | | 2023 |