Sep 2, 2020 · This paper thus aims to improve the adversarial robustness of the network from the architecture perspective.
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Aug 3, 2021 · We propose AdvRush, a novel adversarial robustness-aware neural architecture search algorithm, based upon a finding that independent of the ...
[PDF] AdvRush: Searching for Adversarially Robust Neural Architectures
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In this work, we propose a novel adversarial robustness- aware NAS algorithm, named AdvRush, which is a short- hand for “Adversarially Robust Architecture Rush.
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Apr 3, 2024 · In this article, we propose a lightweight and robust neural architecture search (LRNAS) method to automatically search for adversarially robust lightweight ...
In this paper, we present the first comprehensive investigation on the architectural ingredients of adversarially robust DNNs. Our investigation is based on ...
Currently, a few pioneering works have also attempted to address the adversarial robustness limi- tation of CNNs in the perspective of Neural Architecture.
Specifically, we design a robust search space for the message-passing mechanism by adding graph structure mask operations into the search space, which comprises ...
In this work, we propose a novel adversarial robustness- aware NAS algorithm, named AdvRush, which is a short- hand for “Adversarially Robust Architecture Rush.
In this paper, we address this gap via a comprehensive investigation on the impact of network width and depth on the robustness of adversarially trained DNNs.
In this way, G-RNA helps understand GNN robustness from an architectural perspective and effectively searches for optimal adversarial robust GNNs. Extensive ...