Global ETD Search

1	Image Embedding into Generative Adversarial Networks Abdal, Rameen 14 April 2020 (has links) We propose an e cient algorithm to embed a given image into the latent space of StyleGAN. This embedding enables semantic image editing operations that can be applied to existing photographs. Taking the StyleGAN trained on the FFHQ dataset as an example, we show results for image morphing, style transfer, and expression transfer. Studying the results of the embedding algorithm provides valuable insights into the structure of the StyleGAN latent space. We propose a set of experiments to test what class of images can be embedded, how they are embedded, what latent space is suitable for embedding, and if the embedding is semantically meaningful. Generative modeling GANs Image Embedding Image editing StyleGAN Deep Learning
2	Towards Representation Learning for Robust Network Intrusion Detection Systems Ryan John Hosler (18369510) 03 June 2024 (has links) <p dir="ltr">This research involves numerous network intrusion techniques through novel applications of graph representation learning and image representation learning. The methods are tested on multiple publicly available network flow datasets.</p> System and network security Deep learning Neural networks Graph Representation Model image embedding Network intrusion detection framework Android malware analysis and detection autoencoder neural networks Wasserstein Generative Adversarial ... deep graph convolutional neural networks network flow modelling

Search results

Image Embedding into Generative Adversarial Networks

Towards Representation Learning for Robust Network Intrusion Detection Systems