Stable neural ODE with Lyapunov-stable equilibrium points for defending against adversarial attacks
Deep neural networks (DNNs) are well-known to be vulnerable to adversarial attacks, where malicious human-imperceptible perturbations are included in the input to the deep network to fool it into making a wrong classification. Recent studies have demonstrated that neural Ordinary Differential Equati...
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Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/166692 https://nips.cc/Conferences/2021 https://proceedings.neurips.cc/ |
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Institution: | Nanyang Technological University |
Language: | English |