LEDDA, EMANUELE
LEDDA, EMANUELE
DIPARTIMENTO DI INGEGNERIA ELETTRICA ED ELETTRONICA
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Human-in-the-Loop Person Re-Identification as a Defence Against Adversarial Attacks
2024-01-01 Delussu, Rita; Putzu, Lorenzo; Ledda, Emanuele; Fumera, Giorgio
Adversarial Attacks Against Uncertainty Quantification
2023-01-01 Ledda, Emanuele; Angioni, Daniele; Piras, Giorgio; Fumera, Giorgio; Biggio, Battista; Roli, Fabio
Applying Long-Short Term Memory Recurrent Neural Networks for Real-Time Stroke Recognition
2021-01-01 Ledda, E.; Spano, L. D.
How Realistic Should Synthetic Images Be for Training Crowd Counting Models?
2021-01-01 Ledda, E.; Putzu, L.; Delussu, R.; Loddo, A.; Fumera, G.
Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
---|---|---|---|---|
Human-in-the-Loop Person Re-Identification as a Defence Against Adversarial Attacks | 1-gen-2024 | Delussu, Rita; Putzu, Lorenzo; Ledda, Emanuele; Fumera, Giorgio | - | Springer |
Adversarial Attacks Against Uncertainty Quantification | 1-gen-2023 | Ledda, Emanuele; Angioni, Daniele; Piras, Giorgio; Fumera, Giorgio; Biggio, Battista; Roli, Fabio | - | IEEE COMPUTER SOC |
Applying Long-Short Term Memory Recurrent Neural Networks for Real-Time Stroke Recognition | 1-gen-2021 | Ledda, E.; Spano, L. D. | - | Association for Computing Machinery, Inc |
How Realistic Should Synthetic Images Be for Training Crowd Counting Models? | 1-gen-2021 | Ledda, E.; Putzu, L.; Delussu, R.; Loddo, A.; Fumera, G. | - | - |