Fine perceptive gans for brain mr image super-resolution in wavelet domain
Magnetic resonance (MR) imaging plays an important role in clinical and brain exploration.
However, limited by factors such as imaging hardware, scanning time, and cost, it is …
However, limited by factors such as imaging hardware, scanning time, and cost, it is …
A data balancing approach based on generative adversarial network
Intrusion detection is an effective means of ensuring the proper functioning of industrial
control systems (ICSs). Most intrusion detection algorithms learn the historical ICS data to …
control systems (ICSs). Most intrusion detection algorithms learn the historical ICS data to …
Towards intrinsic adversarial robustness through probabilistic training
Modern deep neural networks have made numerous breakthroughs in real-world
applications, yet they remain vulnerable to some imperceptible adversarial perturbations …
applications, yet they remain vulnerable to some imperceptible adversarial perturbations …
A novel multi-sample generation method for adversarial attacks
Deep learning models are widely used in daily life, which bring great convenience to our
lives, but they are vulnerable to attacks. How to build an attack system with strong …
lives, but they are vulnerable to attacks. How to build an attack system with strong …
Rethinking impersonation and dodging attacks on face recognition systems
Face Recognition (FR) systems can be easily deceived by adversarial examples that
manipulate benign face images through imperceptible perturbations. Adversarial attacks on …
manipulate benign face images through imperceptible perturbations. Adversarial attacks on …
ACGIS: Adversarial cover generator for image steganography with noise residuals features-preserving
Recent works with the technique of adversarial example have been bringing the possibility
of effectively resisting the machine learning-based steganalyzers. Nevertheless, these …
of effectively resisting the machine learning-based steganalyzers. Nevertheless, these …
A novel anomaly detection method for digital twin data using deconvolution operation with attention mechanism
In recent years, industrial control systems have evolved toward stability and efficiency,
increasing industrial control systems interconnected with the Internet, which means that …
increasing industrial control systems interconnected with the Internet, which means that …
Dual attention adversarial attacks with limited perturbations
The construction of undetectable adversarial examples with few perturbances remains a
difficult problem in adversarial attacks. At present, most solutions use the standard gradient …
difficult problem in adversarial attacks. At present, most solutions use the standard gradient …
Boosting adversarial transferability via fusing logits of top-1 decomposed feature
Recent research has shown that Deep Neural Networks (DNNs) are highly vulnerable to
adversarial samples, which are highly transferable and can be used to attack other unknown …
adversarial samples, which are highly transferable and can be used to attack other unknown …
Resilient countermeasures against Cyber-Attacks on Self-Driving car architecture
JM Qurashi, K Jambi, F Alsolami… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Self-driving cars, believed to be on track to become a seven trillion-dollar industry by 2050,
are likely to be a popular mode of transportation in the near future, as the technology …
are likely to be a popular mode of transportation in the near future, as the technology …