Feb 3, 2021 · We connect the robustness of neural networks with optimal control using the geometrical information of underlying data to design the control ...
Jan 12, 2021 · The novelty of the study resides in the development of a closed-loop control method for increasing the robustness of neural networks. The ...
We propose a close-loop control method to improve robustness of neural networks. ❖ Define an objective function to connect close-loop method and neural ...
The proposed Close-loop control neural network (CLC-NN) is a optimal control theory inspried defense method against various perturbations.
TOWARDS ROBUST NEURAL NETWORKS VIA CLOSE-. LOOP CONTROL ... We have proposed a close-loop control formulation to improve the robustness of neural networks.
This work addresses the robustness issue of neural networks by a novel close-loop control method from the perspective of dynamic systems and can ...
Jun 26, 2022 · This paper considers the post-training self-healing of a neural network, and proposes a closed-loop control formulation to automatically detect ...
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We consider a closed-loop control formulation to achieve self-healing in the post-training stage, to improve the robustness of a given neural network under a.
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Jan 1, 2022 · This paper considers the post-training self-healing of a neural network, and proposes a closed-loop control formulation to automatically detect ...