Sökning: "Adversarial Testing"

Visar resultat 1 - 5 av 11 uppsatser innehållade orden Adversarial Testing.

1. 1. Using Synthetic Data to ModelMobile User Interface Interactions

   Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

   Författare :Laoa Jalal; [2023]
   Nyckelord :Time Series Data; Generative Adversarial Networks; Synthetic Data Generator; Usability Testing; Machine Learning;

   Sammanfattning : Usability testing within User Interface (UI) is a central part of assuring high-quality UIdesign that provides good user-experiences across multiple user-groups. The processof usability testing often times requires extensive collection of user feedback, preferablyacross multiple user groups, to ensure an unbiased observation of the potential designflaws within the UI design. LÄS MER

3. 2. Playstyle Generation with Multimodal Generative Adversarial Imitation Learning : Style-reward from Human Demonstration for Playtesting Agents

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :William Ahlberg; [2023]
   Nyckelord :Imitation Learning; Reinforcement Learning; Game-testing; Imitationsinlärning; Förstärkande inlärning; Speltestning;

   Sammanfattning : Playtesting plays a crucial role in video game production. The presence of gameplay issues and faulty design choices can be of great detriment to the overall player experience. LÄS MER

4. 3. Scenario Generation for Stress Testing Using Generative Adversarial Networks : Deep Learning Approach to Generate Extreme but Plausible Scenarios

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Jonas Gustafsson; Conrad Jonsson; [2023]
   Nyckelord :Machine Learning; Generative Adversarial Network GAN ; Wasserstein Generative Adversarial Network WGAN ; Scenario Generation; Stress Testing; Central Counterparty Clearing;

   Sammanfattning : Central Clearing Counterparties play a crucial role in financial markets, requiring robust risk management practices to ensure operational stability. A growing emphasis on risk analysis and stress testing from regulators has led to the need for sophisticated tools that can model extreme but plausible market scenarios. LÄS MER

5. 4. Generating Extreme Value Distributions in Finance using Generative Adversarial Networks

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :William Nord-Nilsson; [2023]
   Nyckelord :Extreme Value Theory; Generative Adversarial Networks; Stress Testing; Machine Learning; Convolutional Neural Networks; evtGAN; Extreme Events; Extremvärdesteori; Generativa nätverk; Stresstestning; Maskininlärning; Djupt neuralt nätverk; evtGAN; Extrema händelser;

   Sammanfattning : This thesis aims to develop a new model for stress-testing financial portfolios using Extreme Value Theory (EVT) and General Adversarial Networks (GANs). The current practice of risk management relies on mathematical or historical models, such as Value-at-Risk and expected shortfall. LÄS MER

7. 5. AI-Driven Image Manipulation : Image Outpainting Applied on Fashion Images

   Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Alexander Mennborg; [2021]
   Nyckelord :image outpainting; fashion images; product images; image cropping; image resizing; convolutional neural networks; generative adversarial networks;

   Sammanfattning : The e-commerce industry frequently has to deal with displaying product images in a website where the images are provided by the selling partners. The images in question can have drastically different aspect ratios and resolutions which makes it harder to present them while maintaining a coherent user experience. LÄS MER