Security of machine learning-based anomaly detection in cyber physical systems
With the emergence of the Internet of Things (IoT) and Artificial Intelligence (AI) services and
applications in the Cyber Physical Systems (CPS), the methods of protecting CPS against …
applications in the Cyber Physical Systems (CPS), the methods of protecting CPS against …
Adversarial Attack and Defense for Transductive Support Vector Machine
As a classic semi-supervised approach, the Transductive Support Vector Machine (TSVM)
has exhibited remarkable accuracy by utilizing unlabeled data. However, the robustness of …
has exhibited remarkable accuracy by utilizing unlabeled data. However, the robustness of …
A Detailed Study on Adversarial Attacks and Defense Mechanisms on Various Deep Learning Models
KV Priya, PJ Dinesh - 2023 Advanced Computing and …, 2023 - ieeexplore.ieee.org
With the increased computational efficiency, Deep Neural Network gained more importance
in the area of medical diagnosis. Nowadays many researchers have noticed the security …
in the area of medical diagnosis. Nowadays many researchers have noticed the security …
[PDF][PDF] Enhancing the Robustness of Deep Neural Networks by Meta-Adversarial Training
YK Chang, H Zhao, WJ Wang - International Journal of Network …, 2023 - ijns.jalaxy.com.tw
Adversarial training can effectively defend against the impact of adversarial attacks on deep
neural networks but suffers from poor generalization ability and low defense efficiency. To …
neural networks but suffers from poor generalization ability and low defense efficiency. To …