As such, we propose a new method, namely AdaNI, which can increase feature randomness via Adaptive Noise Injection to improve the adversarial robustness.
AdaNI: Adaptive Noise Injection to improve adversarial robustness. https ... improve deep neural network robustness against adversarial attack. In: IEEE ...
Very high stability and low noise level are special features of the present design. The test current injection method has been improved to obtain more robust ...
Jun 2, 2022 · A high noise level may lead to a large reduction in model performance and a low noise level may not be effective in improving robustness. To ...
Missing: AdaNI: Injection
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What is adversarial robustness?
... noise injection method to augment the original dataset to enhance the model robustness. ... AdaNI: Adaptive Noise Injection to improve adversarial robustness.
Nov 1, 2023 · A simple yet effective method to improve robustness by injecting adaptive noise. · Utilize multiplicative noise considering the correlation ...
AdaNI: Adaptive Noise Injection to improve adversarial robustness · Yuezun Li ... This paper aims to improve the adversarial robustness of the network ...
Improving the adversarial robustness and interpretability of deep ... AdaNI: Adaptive Noise Injection to improve adversarial robustness. Yuezun Li ...
Enabling Inference Privacy with Adaptive Noise Injection. S Kariyappa, O Dia ... Improving adversarial robustness of ensembles with diversity training.
Missing: AdaNI: | Show results with:AdaNI:
In this work, we propose Parametric-. Noise-Injection (PNI) 1 which involves trainable Gaussian noise injection at each layer on either activation or weights.
Missing: AdaNI: Adaptive