Robustness Analysis of Neural Networks via Efficient Partitioning with Applications in Control Systems
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2022
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| Online Access: | https://hdl.handle.net/1721.1/145373 |
| _version_ | 1826216720407199744 |
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| author | Everett, Michael Habibi, Golnaz How, Jonathan P |
| author2 | Massachusetts Institute of Technology. Aerospace Controls Laboratory |
| author_facet | Massachusetts Institute of Technology. Aerospace Controls Laboratory Everett, Michael Habibi, Golnaz How, Jonathan P |
| author_sort | Everett, Michael |
| collection | MIT |
| first_indexed | 2024-09-23T16:52:21Z |
| format | Article |
| id | mit-1721.1/145373 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T16:52:21Z |
| publishDate | 2022 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1453732023-01-09T20:45:05Z Robustness Analysis of Neural Networks via Efficient Partitioning with Applications in Control Systems Everett, Michael Habibi, Golnaz How, Jonathan P Massachusetts Institute of Technology. Aerospace Controls Laboratory 2022-09-13T16:20:51Z 2022-09-13T16:20:51Z 2021 2022-09-13T16:08:43Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/145373 Everett, Michael, Habibi, Golnaz and How, Jonathan P. 2021. "Robustness Analysis of Neural Networks via Efficient Partitioning with Applications in Control Systems." 2021 American Control Conference (ACC). en 10.23919/ACC50511.2021.9483033 2021 American Control Conference (ACC) Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) arXiv |
| spellingShingle | Everett, Michael Habibi, Golnaz How, Jonathan P Robustness Analysis of Neural Networks via Efficient Partitioning with Applications in Control Systems |
| title | Robustness Analysis of Neural Networks via Efficient Partitioning with Applications in Control Systems |
| title_full | Robustness Analysis of Neural Networks via Efficient Partitioning with Applications in Control Systems |
| title_fullStr | Robustness Analysis of Neural Networks via Efficient Partitioning with Applications in Control Systems |
| title_full_unstemmed | Robustness Analysis of Neural Networks via Efficient Partitioning with Applications in Control Systems |
| title_short | Robustness Analysis of Neural Networks via Efficient Partitioning with Applications in Control Systems |
| title_sort | robustness analysis of neural networks via efficient partitioning with applications in control systems |
| url | https://hdl.handle.net/1721.1/145373 |
| work_keys_str_mv | AT everettmichael robustnessanalysisofneuralnetworksviaefficientpartitioningwithapplicationsincontrolsystems AT habibigolnaz robustnessanalysisofneuralnetworksviaefficientpartitioningwithapplicationsincontrolsystems AT howjonathanp robustnessanalysisofneuralnetworksviaefficientpartitioningwithapplicationsincontrolsystems |