A Fast Adversarial Sample Detection Approach for Industrial Internet-of-Things Applications
Author:
Affiliation:
1. School of Computer Science and Engineering, Central South University
2. College of Computer Science and Electronic Engineering, Hunan University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10188660/10188690/10188719.pdf?arnumber=10188719
Reference49 articles.
1. A sentence-level text adversarial attack algorithm against IIoT based smart grid
2. Robust Learning-Enabled Intelligence for the Internet of Things: A Survey From the Perspectives of Noisy Data and Adversarial Examples
3. Robust malware defense in industrial iot applications using machine learning with selective adversarial samples;mahbub;IEEE Transactions on Industry Applications,2020
4. FDA$^3$: Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications
5. Adversarial attacks against medical deep learning systems;finlayson;CoRR,2018
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