Results 101 to 110 of about 173,113 (165)

Cross-representation transferable adversarial examples generation for audio classification

open access: yes网络与信息安全学报
Adversarial examples have been used as an important tool for detecting vulnerabilities in deep neural networks. The unique property of transferability enables them to deceive black-box deep neural network models.
TIAN Zilin   +3 more
doaj  

Analysis of Adversarial Examples

open access: yes
The rise of artificial intelligence (AI) has significantly impacted the field of computer vision (CV). In particular, deep learning (DL) has advanced the development of algorithms that comprehend visual data. In specific tasks, DL exhibits human capabilities and is impacting our everyday lives such as virtual assistants, entertainment or web searches ...
openaire   +2 more sources

Low Uncertainty Adversarial Examples

open access: yes
Neural networks are vulnerable to adversarial attacks. Adversarial samples are samples that have a small perturbation compared to the original input they were create from, but are misclassified by the attacked neural network. In the case of images, adversarial examples are generally indistinguishable from the original image by human perception.
openaire   +1 more source

Adversarial Examples

open access: yesJournal of Japan Society for Fuzzy Theory and Intelligent Informatics
openaire   +1 more source

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