Essays about: "Generative Adversarial Network"

Showing result 6 - 10 of 117 essays containing the words Generative Adversarial Network.

1. 6. Exploring GANs to generate attack-variations in IoT networks

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Gustaf Bennmarker; [2023]
   Keywords : ;

   Abstract : Data driven IDS development requires a vast amount of data to be effective against future attacks and a big problem is the lack of available data. This thesis explores the use of GANs (Generative adversarial networks) in generating attack data that can be used as apart of a training set for an IDS to improve the robustness against adversarial attacks. READ MORE

3. 7. Accuracy and Robustness of State of the Art Deepfake Detection Models

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Tobias Carlsson; Oskar Strömberg; [2023]
   Keywords : ;

   Abstract : With the evolution of artificial intelligence a lot of people have started getting worried about the potential dangers of deepfake images and videos, such as spreading fake videos of influential people. Several solutions to this problem have been proposed with some of the most efficient being convolutional neural networks for face detection in order to differentiate real images from deepfake images generated with a generative adversarial network. READ MORE

4. 8. Image Colorization Based on Deep Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Tao Deng; [2023]
   Keywords : Image colorization; Deep Learning; Convolutional Neural Network; Generative Adversarial Network; Färgläggning av bilder; djupinlärning; Konvolutionella Neurala Nätverk; Generativa Adversariella Nätverk;

   Abstract : With the development of artificial intelligence, there is a clear trend to combine computer technology with traditional industries. In recent years, with the development of digital media technology, many methods for coloring gray-scale images have been proposed. READ MORE

5. 9. EVALUATING PERFORMANCE OF GENERATIVE MODELS FOR TIME SERIES SYNTHESIS

   University essay from Mälardalens universitet/Akademin för innovation, design och teknik

   Author : Muhammad Junaid Haris; [2023]
   Keywords : GAN; Generative Adversarial Network; VQ-VAE; Vector Quantized Variational AutoEncoder; AutoEncoder; VAE; Time Series; Synthesizing; Data Synthesis;

   Abstract : Motivated by successes in the image generation domain, this thesis presents a novel Hybrid VQ-VAE (H-VQ-VAE) approach for generating realistic synthetic time series data with categorical features. The primary motivation behind this work is to address the limitations of existing generative models in accurately capturing the underlying structure and patterns of time series data, especially when dealing with categorical features. READ MORE

6. 10. Domain Adaptation Of Front View Synthetic Point Clouds Using GANs For Autonomous Driving

   University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesign

   Author : Friedemann Kleinsteuber; [2023]
   Keywords : LiDAR; Domain Adaptation; GAN; CycleGAN; Simulation; LiDAR; Domänadaption; GAN; CycleGAN; Simulation;

   Abstract : The perception of the environment is one of the main enablers of Autonomous Driving and is driven by Cameras, RADAR, and LiDAR sensors. Deep Learning algorithms used in perception need a vast amount of labeled, high-quality data which is costly to obtain for LiDAR sensors. READ MORE