Weak signals are crucial for detecting malicious activities, especially when adversaries might leverage machine learning to blend in. Generative adversarial networks (GANs) offer a fascinating approach, where a generator creates images while a discriminator evaluates their authenticity. This method not only enhances image interpolation but also produces more realistic results compared to traditional algorithmic techniques.
