Incorporating nonlinear distance metrics in mixed integer linear programming formulations of deep neural networks

Additional Metadata
Keywords	Neural Networks; Deep Learning; Adversarial Examples; Adversarial Training; Mixed Integer Linear Programming
Thesis Advisor	Rossum, B.T.C. van
Persistent URL	hdl.handle.net/2105/60160
Series	Econometrie
Organisation	Erasmus School of Economics
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Zhu, J.H. (2021, November 4). Incorporating nonlinear distance metrics in mixed integer linear programming formulations of deep neural networks. Econometrie. Retrieved from http://hdl.handle.net/2105/60160

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