An Adversarial Examples Identification Method for Time Series in Internet of Things System
IEEE Internet of Things Journal（2021）
Abstract
Adversarial examples (AEs) make Internet-of-Things (IoT) systems to face a great challenge. The tiny fluctuations in AEs mislead the learning model, let the model accept, and make wrong decisions. So, accurately identifying AEs is significant for improving the robustness in IoT systems. In this article, a method to identify AEs for time-series data is proposed. We analyze the characteristics of ad...
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Key words
Time series analysis,Market research,Feature extraction,Fluctuations,Tensors,Measurement,Supervised learning
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