Robustness Analysis of Neural Networks via Efficient Partitioning with Applications in Control Systems
IEEE Neural networks (NNs) are now routinely implemented on systems that must operate in uncertain environments, but the tools for formally analyzing how this uncertainty propagates to NN outputs are not yet commonplace. Computing tight bounds on NN output sets (given an input set) provides a measur...
Main Authors: | Everett, Michael, Habibi, Golnaz, How, Jonathan P |
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Other Authors: | Massachusetts Institute of Technology. Aerospace Controls Laboratory |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2021
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Online Access: | https://hdl.handle.net/1721.1/134064 |
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