Evaluating practical adversarial robustness of fault diagnosis systems via spectrogram-aware ensemble method
While machine learning models have shown superior performance in fault diagnosis
systems, researchers have revealed their vulnerability to subtle noises generated by …
systems, researchers have revealed their vulnerability to subtle noises generated by …
Understanding and Benchmarking the Commonality of Adversarial Examples
Speech recognition system converts audio into texts by utilizing deep learning algorithms.
Numerous works have demonstrated various adversarial example (AE) attacks, ie, adding …
Numerous works have demonstrated various adversarial example (AE) attacks, ie, adding …
Survey of Physical Adversarial Attacks Against Object Detection Models.
CAI Wei, DI Xingyu, J Xinhao, W Xin… - Journal of Computer …, 2024 - search.ebscohost.com
Deep learning models are highly susceptible to adversarial samples, and even minuscule
image perturbations that are not perceptible to the naked eye can disable well-trained deep …
image perturbations that are not perceptible to the naked eye can disable well-trained deep …