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Disambiguation of "Demontis, Ambra"

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BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability.

, , , , , , and . PAKDD (1), volume 13935 of Lecture Notes in Computer Science, page 3-14. Springer, (2023)

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Fabio Demontis

Ambra Molesini

Bernardus Ambrassat

Franz Otto Ambrass

Detlef Ambrassat

 

Other publications of authors with the same name

Super-sparse Learning in Similarity Spaces., , , , and . CoRR, (2017)Can Domain Knowledge Alleviate Adversarial Attacks in Multi-Label Classifiers?, , , , , , and . CoRR, (2020)A Hybrid Training-Time and Run-Time Defense Against Adversarial Attacks in Modulation Classification., , , , , and . IEEE Wirel. Commun. Lett., 11 (6): 1161-1165 (2022)Why adversarial reprogramming works, when it fails, and how to tell the difference., , , , , , , and . Inf. Sci., (2023)AI Security and Safety: The PRALab Research Experience., , , , , , , , and . Ital-IA, volume 3486 of CEUR Workshop Proceedings, page 324-328. CEUR-WS.org, (2023)The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers?, , , , , and . IJCNN, page 1-8. IEEE, (2021)secml: Secure and explainable machine learning in Python., , , , , and . SoftwareX, (2022)Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference., , , , , , , and . CoRR, (2021)Hardening RGB-D Object Recognition Systems against Adversarial Patch Attacks., , , , , , , , and . CoRR, (2023)Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers., , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (12): 9944-9959 (2022)