Essays about: "Adversarial Samples"

Showing result 1 - 5 of 42 essays containing the words Adversarial Samples.

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

   University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

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

   Abstract : 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. READ MORE

3. 2. 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

4. 3. Robust Neural Receiver in Wireless Communication : Defense against Adversarial Attacks

   University essay from Linköpings universitet/Kommunikationssystem

   Author : Alice Nicklasson Cedbro; [2023]
   Keywords : Wireless communication; Neural receiver; Robust neural receiver; Adversarial machine learning; Fast Gradient Sign Method; Adversarial training;

   Abstract : In the field of wireless communication systems, the interest in machine learning has increased in recent years. Adversarial machine learning includes attack and defense methods on machine learning components. READ MORE

5. 4. Scene Reconstruction From 4D Radar Data with GAN and Diffusion : A Hybrid Method Combining GAN and Diffusion for Generating Video Frames from 4D Radar Data

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

   Author : Alexandr Djadkin; [2023]
   Keywords : Deep generative models; Generative adversarial networks; Diffusion models; GAN; DGM; 4D imaging radar; Djupa generativa modeller; Generativa antagonistiska nätverk; Diffusionsmodeller; GAN; DGM; 4D-bildradar;

   Abstract : 4D Imaging Radar is increasingly becoming a critical component in various industries due to beamforming technology and hardware advancements. However, it does not replace visual data in the form of 2D images captured by an RGB camera. READ MORE

6. 5. Latent Data-Structures for Complex State Representation : A Steppingstone to Generating Synthetic 5G RAN data using Deep Learning

   University essay from Uppsala universitet/Högenergifysik

   Author : Jakob Häggström; [2023]
   Keywords : Data Science; Machine Learning; Generative models; Artificial Intelligence; 5GRAN;

   Abstract : The aim of this thesis is to investigate the feasibility of applying generative deep learning models on data related to 5G Radio Access Networks (5GRAN). Simulated data is used in order to develop the generative models, and this project serves as a proof of concept for further applications on real data. READ MORE