Generative adversarial networks has been widely explored for generating photorealistic ... from the distribution of real images using adversarial loss and cycle consistency loss. Qualitative results ...

Generative AI is revolutionizing the field of cybersecurity by providing advanced tools for threat detection, analysis, and ...

Generative Adversarial Networks (GANs) have revolutionized the field of image processing by enabling the generation of high-quality images from various input types. These networks consist of two ...

To break these restrictions, in this paper, we propose the Unsupervised Bi-directional Cycle Domain Transfer Learning-based Generative Adversarial Network (UBCDT-GAN), which has the ability to ...

Generative Adversarial Networks,Low Light Conditions,Near-infrared,Near-infrared Imaging,RGB Images,Visual Comparison,Angular Error,Asymmetric Cycle,Color Images,Color Information,Consistency ...

Generative Adversarial Networks also known as GANs use two neural ... that decides if the output is real or generated. This ...

Although generative AI holds immense promise in information security, it does come with challenges that must be addressed.

Falcon2, and BERT, have brought groundbreaking capabilities to cybersecurity. Their ability to parse and contextualize ...

Ability Of The Model,Ablation Experiments,Antenna Array,Conditional Generative Adversarial Network,Cycle Consistency Loss,Cycle Generative Adversarial Network,Discriminator Network,Feature Extraction ...