PINTOR, MAURA

PINTOR, MAURA  

DIPARTIMENTO DI INGEGNERIA ELETTRICA ED ELETTRONICA  

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Risultati 1 - 11 di 11 (tempo di esecuzione: 0.017 secondi).
Titolo Data di pubblicazione Autore(i) Rivista Editore
ALOHA: An architectural-aware framework for deep learning at the edge 1-gen-2018 Meloni, P.; Loi, D.; Deriu, G.; Ripolles, O.; Solans, D.; Pimentel, A. D.; Sapra, D.; Pintor, Maura; Biggio, B.; Moser, B.; Shepeleva, N.; Stefanov, T.; Minakova, S.; Conti, F.; Benini, L.; Fragoulis, N.; Theodorakopoulos, I.; Masin, M.; Palumbo, F. - Association for Computing Machinery
Architecture-aware design and implementation of CNN algorithms for embedded inference: The ALOHA project 1-gen-2018 Meloni, P.; Loi, D.; Deriu, G.; Pimentel, A. D.; Saprat, D.; Pintor, M.; Biggio, B.; Ripolles, O.; Solans, D.; Conti, F.; Benini, L.; Stefanov, T.; Minakova, S.; Moser, B.; Shepeleva, N.; Masin, M.; Palumbo, F.; Fragoulis, N.; Theodorakopoulos, I. - Institute of Electrical and Electronics Engineers Inc.
Be Right Beach: A Social IoT System for Sustainable Tourism Based on Beach Overcrowding Avoidance 1-gen-2018 Girau, R.; Ferrara, E.; Pintor, M.; Sole, M.; Giusto, D. - IEEE (Institute of Electrical and Electronics Engineers)
Detecting Anomalies from Video-Sequences: a Novel Descriptor 1-gen-2021 Orru', G.; Ghiani, D.; Pintor, M.; Marcialis, G. L.; Roli, F. - Institute of Electrical and Electronics Engineers
Explainability-based Debugging of Machine Learning for Vulnerability Discovery 1-gen-2022 Sotgiu, Angelo; Pintor, Maura; Biggio, Battista - -
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches 1-gen-2022 Pintor, Maura; Angioni, Daniele; Sotgiu, Angelo; Demetrio, Luca; Demontis, Ambra; Biggio, Battista; Roli, Fabio PATTERN RECOGNITION -
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples In corso di stampa Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Demontis, Ambra; Carlini, Nicholas; Biggio, Battista; Roli, Fabio - -
Optimization and deployment of CNNs at the Edge: The ALOHA experience 1-gen-2019 Meloni, P.; Loi, D.; Busia, P.; Deriu, G.; Pimentel, A. D.; Sapra, D.; Stefanov, T.; Minakova, S.; Conti, F.; Benini, L.; Pintor, M.; Biggio, B.; Moser, B.; Shepelev, N.; Fragoulis, N.; Theodorakopoulos, I.; Masin, M.; Palumbo, F. - Association for Computing Machinery, Inc
secml: Secure and explainable machine learning in Python 1-gen-2022 Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Melis, Marco; Demontis, Ambra; Biggio, Battista SOFTWAREX -
Towards Debugging and Improving Adversarial Robustness Evaluations ​ 18-feb-2022 - - Università degli Studi di Cagliari
Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks 1-gen-2019 Demontis, Ambra; Melis, Marco; Pintor, Maura; Jagielski, Matthew; Biggio, Battista; Oprea, Alina; Nita-Rotaru, Cristina; Roli, Fabio - USENIX Association