Time-Constrained Adversarial Defense in IoT Edge Devices through Kernel Tensor Decomposition and Multi-DNN Scheduling

Myungsun Kim1, Sanghyun Joo2

  • 1Department of Applied Artificial Intelligence, Hansung University, Seoul 02876, Korea.

Summary

This study introduces eDenoizer, an efficient adversarial defense system for Internet of Things (IoT) edge devices. eDenoizer significantly reduces latency in deep neural network (DNN) processing while maintaining high classification accuracy.

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