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Verifiable Learning for Robust Tree Ensembles:

, In: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security,

Calzavara, Stefano ; Cazzaro, Lorenzo ; Pibiri, Giulio Ermanno. - p. 1850-1864 , 2023

Link: https://dl.acm.org/doi/10.1145/3576915.3623100

RT 
T1 <cTitle>Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security</cTitle>: T1 <Title>Verifiable Learning for Robust Tree Ensembles</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3623100&Exemplar=1&LAN=DE
				
A1 Calzavara, Stefano
A1 Cazzaro, Lorenzo
A1 Pibiri, Giulio Ermanno
A1 Prezza, Nicola
PB ACM
YR 2023
K1 decision tree ensembles
K1 learning models
K1 machine learning and security
K1 robustness
K1 verification and program analysis for machine
K1 Security and privacy
K1 Formal methods and theory of security
K1 Logic and verification
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Classification and regression trees
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by classification
K1 Theory of computation
K1 Computational complexity and cryptography
K1 Problems, reductions and completeness
SP 1850
OP 1864
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3576915.3623100
DO https://dl.acm.org/doi/10.1145/3576915.3623100
SF ELIB - SuUB Bremen

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