Jun 26, 2023 · In this research, we aim to find Neural Architectures that have improved robustness on a wide range of adversarial noise strengths through Neural Architecture ...
To find Neural Architectures with wide spectrum adversar- ial robustness (WsrNets) that have improved robustness on a wide range of adversarial noise strengths, ...
Feb 7, 2023 · In this research, we aim to find Neural Architectures that have improved robustness on a wide range of adversarial noise strengths through ...
Jul 16, 2020 · Our work is the first large-scale study to understand adversarial robustness purely from an architectural perspective.
Recent advances in adversarial attacks show the vulnerability of deep neural networks searched by Neural Architecture Search (NAS). Although NAS methods can ...
On-demand video platform giving you access to lectures from conferences worldwide.
We propose a robustness-aware search framework, an Adversarial Neural Architecture Search by the Pruning policy (ANAS-P).
[PDF] AdvRush: Searching for Adversarially Robust Neural Architectures
openaccess.thecvf.com › papers
Current efforts to improve the ro- bustness of neural networks against adversarial examples are focused on developing robust training methods, which update the ...
People also ask
Does interpretability of neural networks imply adversarial robustness?
How does neural architecture search work?
What is adversarial robustness of deep learning models?
In this section, we compare and contrast the robustness of different architectures in a wide-range of scenarios and answer questions listed in Section 1. 4.1.
Missing: Spectrum | Show results with:Spectrum
This work proposes AdvRush, a novel adversarial robustness-aware neural architecture search algorithm, based upon a finding that independent of the training ...