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In the present day we use machine learning for sensitive tasks that require models to be both understandable and robust.
Classification and Regression Trees
L. Breiman, J. H. Friedman, R. A. Olshen, and C. J. Stone · 1984
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Induction of decision trees
J. Ross Quinlan · 1986
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Partitioning nominal attributes in decision trees
Don Coppersmith, Se June Hong, and Jonathan RM Hosking · 1999
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Theoretical Comparison between the Gini Index and Information Gain Criteria
Laura Elena Raileanu and Kilian Stoffel · 2004
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Scikit-learn: Machine learning in Python
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay · 2011
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Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
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Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna Estrach, Dumitru Erhan, Ian Goodfellow, and Robert Fergus · 2014
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A survey of data mining and machine learning methods for cyber security intrusion detection
Anna L Buczak and Erhan Guven · 2015
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Xgboost: A scalable tree boosting system
Tianqi Chen and Carlos Guestrin · 2016
Cited alongside, same era.
Evasion and hardening of tree ensemble classifiers
Alex Kantchelian, J Doug Tygar, and Anthony Joseph · 2016
Cited alongside, same era.
Transferability in machine learning: from phenomena to black-box attacks using adversarial samples
Nicolas Papernot, Patrick McDaniel, and Ian Goodfellow · 2016
Cited alongside, same era.
Distillation as a defense to adversarial perturbations against deep neural networks
Nicolas Papernot, Patrick McDaniel, Xi Wu, Somesh Jha, and Ananthram Swami · 2016
Cited alongside, same era.
Magnet: a two-pronged defense against adversarial examples
Dongyu Meng and Hao Chen · 2017
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Wojciech Samek, Thomas Wiegand, and Klaus-Robert Müller · 2017
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Defense-GAN: Protecting classifiers against adversarial attacks using generative models
Pouya Samangouei, Maya Kabkab, and Rama Chellappa · 2018
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Robust decision trees against adversarial examples
Hongge Chen, Huan Zhang, Duane Boning, and Cho-Jui Hsieh · 2019
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Adversarial examples are not bugs, they are features
Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, and Aleksander Madry · 2019
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Min Chen, Yixue Hao, Kai Hwang, Lu Wang, and Lin Wang · 2017
Cited alongside, same era.
Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei, Seyum Assefa Abebe, and Salvatore Orlando · 2020
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