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Decision trees are a popular choice of explainable model, but just like neural networks, they suffer from adversarial examples.
Robust decision trees against adversarial examples
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Constructing optimal binary decision trees is NP-complete
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Classification and regression trees
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Induction of decision trees
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MurTree: Optimal Classification Trees via Dynamic Programming and Search
Demirović, E.; Lukina, A.; Hebrard, E.; Chan, J.; Bailey, J.; Leckie, C.; Ramamohanarao, K.; and Stuckey, P. J. 2020 · 2007
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Optimal constraint-based decision tree induction from itemset lattices
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Efficient Training of Robust Decision Trees Against Adversarial Examples
Vos, D.; and Verwer, S. 2020 · 2012
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Iterative and core-guided MaxSAT solving: A survey and assessment
Morgado, A.; Heras, F.; Liffiton, M.; Planes, J.; and Marques-Silva, J. 2013 · 2013
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Intriguing properties of neural networks
Szegedy, C.; Zaremba, W.; Sutskever, I.; Bruna, J.; Erhan, D.; Goodfellow, I.; and Fergus, R. 2013 · 2013
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Incremental cardinality constraints for MaxSAT
Martins, R.; Joshi, S.; Manquinho, V.; and Lynce, I. 2014 · 2014
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Evasion and hardening of tree ensemble classifiers
Kantchelian, A.; Tygar, J. D.; and Joseph, A. 2016 · 2016
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Learning Optimal Decision Trees with SAT
Narodytska, N.; Ignatiev, A.; Pereira, F.; Marques-Silva, J.; and RAS, I. 2018 · 2018
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Analyzing the robustness of nearest neighbors to adversarial examples
Wang, Y.; Jha, S.; and Chaudhuri, K. 2018 · 2018
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RC2: An efficient MaxSAT solver
Ignatiev, A.; Morgado, A.; and Marques-Silva, J. 2019 · 2019
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Learning optimal classification trees using a binary linear program formulation
Verwer, S.; and Zhang, Y. 2019 · 2019
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Learning optimal decision trees using caching branch-and-bound search
Aglin, G.; Nijssen, S.; and Schaus, P. 2020 · 2020
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Efficient inference of optimal decision trees
Avellaneda, F. 2020 · 2020
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Bertsimas, D.; and Dunn, J. 2017 · 2017
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Towards deep learning models resistant to adversarial attacks
Madry, A.; Makelov, A.; Schmidt, L.; Tsipras, D.; and Vladu, A. 2017 · 2017
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Learning decision trees with flexible constraints and objectives using integer optimization
Verwer, S.; and Zhang, Y. 2017 · 2017
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PySAT: A Python Toolkit for Prototyping with SAT Oracles
Alexey, I.; Antonio, M.; and Joao, M. 2018 · 2018
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Treant: training evasion-aware decision trees
Calzavara, S.; Lucchese, C.; Tolomei, G.; Abebe, S. A.; and Orlando, S. 2020 · 2020
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Learning optimal decision trees using constraint programming
Verhaeghe, H.; Nijssen, S.; Pesant, G.; Quimper, C.-G.; and Schaus, P. 2020 · 2020
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Mathematical optimization in classification and regression trees
Carrizosa, E.; Molero-Río, C.; and Morales, D. R. 2021 · 2021
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