November 20, 2017 preprint Open access Evaluating Robustness of Neural Networks with Mixed Integer Programming arXiv (Cornell University) DOI: 10.48550/arxiv.1711.07356 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 327 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing 2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Adversarial Robustness in Machine Learning Open access 1 citations Speeding up neural network robustness verification via algorithm configuration and an optimised mixed integer linear programming solver portfolio 2022 Machine Learning article Computer Science Adversarial Robustness in Machine Learning Open access 7 citations Debona: Decoupled Boundary Network Analysis for Tighter Bounds and Faster Adversarial Robustness Proofs 2020 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access 3 citations 3 results References 0