Robust Pervasive Detection for Adversarial Samples of Artificial Intelligence in IoT Environments
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DOI: 10.1109/access.2019.2919695
Abstract: Nowadays, artificial intelligence technologies (e.g., deep neural networks) have been used widely in the Internet of Things (IoT) to provide smart services and sensing data processing. The evolving neural network even exceeds the human cognitive… read more here.
Keywords: pervasive detection; artificial intelligence; robust pervasive; detection adversarial ... See more keywords
Toward Universal Detection of Adversarial Examples via Pseudorandom Classifiers
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2023.3340889
Abstract: Adversarial examples that can fool neural network classifiers have attracted much attention. Existing approaches to detect adversarial examples leverage a supervised scheme in generating attacks (either targeted or non-targeted) for training the detectors, which means… read more here.
Keywords: pseudorandom; universal detection; adversarial examples; detection adversarial ... See more keywords