Towards an Adversarial Machine Learning Framework in Cyber-Physical Systems

Author:

Mulo John1,Tian Pu1,Hussaini Adamu1,Liang Hengshuo1,Yu Wei1

Affiliation:

1. Towson University,Department of Computer and Information Sciences,Towson,MD,21252

Publisher

IEEE

Reference55 articles.

1. Toward Edge-Based Deep Learning in Industrial Internet of Things

2. Foolbox: A python toolbox to benchmark the robustness of machine learning models;rauber,0

3. Adversarial attacks on neural network policies;huang,2017

4. A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications

5. Intriguing properties of neural networks;szegedy;Proc Int'l Conf on Learning Representations,2014

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1. On the Cybersecurity of Logistics in the Age of Artificial Intelligence;Artificial Intelligence for Security;2024

2. Deblurring as a Defense against Adversarial Attacks;2023 IEEE 12th International Conference on Cloud Networking (CloudNet);2023-11-01

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