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Angelo Sotgiu
Angelo Sotgiu
Assistant Professor, University of Cagliari
Verified email at unica.it
Title
Cited by
Cited by
Year
Deep neural rejection against adversarial examples
A Sotgiu, A Demontis, M Melis, B Biggio, G Fumera, X Feng, F Roli
EURASIP Journal on Information Security 2020, 1-10, 2020
552020
secml: Secure and explainable machine learning in Python
M Pintor, L Demetrio, A Sotgiu, M Melis, A Demontis, B Biggio
SoftwareX 18, 101095, 2022
47*2022
ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches
M Pintor, D Angioni, A Sotgiu, L Demetrio, A Demontis, B Biggio, F Roli
Pattern Recognition 134, 109064, 2023
292023
Indicators of attack failure: Debugging and improving optimization of adversarial examples
M Pintor, L Demetrio, A Sotgiu, A Demontis, N Carlini, B Biggio, F Roli
Advances in Neural Information Processing Systems 35, 23063-23076, 2022
272022
Domain knowledge alleviates adversarial attacks in multi-label classifiers
S Melacci, G Ciravegna, A Sotgiu, A Demontis, B Biggio, M Gori, F Roli
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9944á…, 2021
27*2021
Fader: Fast adversarial example rejection
F Crecchi, M Melis, A Sotgiu, D Bacciu, B Biggio
Neurocomputing 470, 257-268, 2022
192022
Intelliav: Toward the feasibility of building intelligent anti-malware on android devices
M Ahmadi, A Sotgiu, G Giacinto
Machine Learning and Knowledge Extraction: First IFIP TC 5, WG 8.4, 8.9, 12á…, 2017
182017
Intelliav: Building an effective on-device android malware detector
M Ahmadi, A Sotgiu, G Giacinto
arXiv preprint arXiv:1802.01185, 2018
122018
Explainability-based debugging of machine learning for vulnerability discovery
A Sotgiu, M Pintor, B Biggio
Proceedings of the 17th International Conference on Availabilityá…, 2022
42022
Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving
M Pintor, L Demetrio, A Sotgiu, HY Lin, C Fang, A Demontis, B Biggio
2023 International Conference on Machine Learning and Cybernetics (ICMLC), 57-62, 2023
2023
Evaluating Adversarial Robustness of Detection-based Defenses against Adversarial Examples
A Sotgiu
UniversitÓ degli Studi di Cagliari, 2023
2023
AI Security and Safety: The PRALab Research Experience
A Demontis, M Pintor, L Demetrio, A Sotgiu, D Angioni, G Piras, S Gupta, ...
CEUR WORKSHOP PROCEEDINGS 3486, 324-328, 2023
2023
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