Results 81 to 90 of about 79,418 (169)

Certified Defenses against Adversarial Examples

open access: yes, 2018
While neural networks have achieved high accuracy on standard image classification benchmarks, their accuracy drops to nearly zero in the presence of small adversarial perturbations to test inputs. Defenses based on regularization and adversarial training have been proposed, but often followed by new, stronger attacks that defeat these defenses. Can we
Raghunathan, Aditi   +2 more
openaire   +2 more sources

Adversarial Defense Based on Denoising Convolutional Autoencoder in EEG-Based Brain–Computer Interfaces

open access: yesIEEE Access
The exploration and implementation of brain-computer interfaces (BCIs) utilizing electro- encephalography (EEG) are becoming increasingly widespread. However, their safety considerations have received scant attention.
Yongting Ding, Lin Li, Qingyan Li
doaj   +1 more source

Traffic adversarial example attack and defense method based on explainable artificial intelligence

open access: yesTongxin xuebao
An adversarial example attack method based on XAI was proposed for AI-based NIDS. By identifying critical perturbation features with XAI and applying targeted perturbations while preserving traffic functionality, malicious traffic was gradually altered ...
MA Bowen   +4 more
doaj  

Research on adversarial attacks and defense performance of image classification models for automated driving systems

open access: yes机车电传动
Image classification models have been widely applied to facilitate functions such as autonomous perception and positioning for automated driving in many transportation systems, including automobiles, autonomous rail and urban rail transit systems ...
TANG Jun   +3 more
doaj  

Adversarial robust EEG-based brain-computer interfaces using a hierarchical convolutional neural network. [PDF]

open access: yesSci Rep
Samuel J   +5 more
europepmc   +1 more source

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