In this paper, we use SMART attributes to predict hard drive health degrees which are helpful for taking different fault tolerant actions in advance. Given the ...

Sep 28, 2018 · In this paper, we propose a layerwise perturbation-based adversarial training method with an application on hard drive health degree prediction.

A layerwise perturbation-based adversarial training method which can add perturbations to any layers of a neural network to improve the generalization of ...

In this paper, we use. SMART attributes to predict hard drive health degrees which are helpful for taking different fault tolerant actions in advance. Given the ...

Firstly, we design a layerwise perturbation-based adversarial training method which can add perturbations to any layers of a neural network to improve the ...

Layerwise perturbation-based adversarial training for hard drive health degree prediction. J Zhang*, J Wang*, L He, Z Li, SY Philip. 2018 IEEE international ...

Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction · no code implementations • 11 Sep 2018 • Jian-Guo Zhang, Ji Wang ...

Aug 27, 2024 · Our experimental results confirm that the attacks and defenses achieve the desired security thresholds, leading to a 72.41% and 94.81% decrease ...

Firstly, we design a layerwise perturbation-based adversarial training method which can add perturbations to any layers of a neural network to improve the ...

This paper presents a novel method for predicting disk failures by leveraging multi-layer domain adaptive learning techniques. First, disk data with numerous ...