Essays about: "image generator"
Showing result 1 - 5 of 31 essays containing the words image generator.
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1. Exploring GANs to generate attack-variations in IoT networks
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : 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
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2. Pushing Boundaries? Artists' worldview in the AI era from a relational work perspective
University essay from Lunds universitet/Institutionen för tjänstevetenskapAbstract : The thesis discusses how visual artists negotiate the boundaries between their own creative work and AI-aided work, how they establish boundaries with other artists who use AI, and How the relationship between visual artists and clients is mediated in the market with the rising popularity of AI tools. The study found that most artists negotiate meanings to take a stance and, more often than not, are open to using AI if it becomes more ethical and transparent. READ MORE
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3. EMC-Optimized Transparency: Reducing Electromagnetic Emissions in Surveillance Camera Domes
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Electromagnetic compatibility (EMC) is a crucial aspect to product development. Companies need to make sure their products live up to the standards that exists around the world. One way of reducing electromagnetic emissions is to shield the product, using some conducting material, for instance, copper. READ MORE
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4. Towards Building Privacy-Preserving Language Models: Challenges and Insights in Adapting PrivGAN for Generation of Synthetic Clinical Text
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : The growing development of artificial intelligence (AI), particularly neural networks, is transforming applications of AI in healthcare, yet it raises significant privacy concerns due to potential data leakage. As neural networks memorise training data, they may inadvertently expose sensitive clinical data to privacy breaches, which can engender serious repercussions like identity theft, fraud, and harmful medical errors. READ MORE
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5. Deep Learning for the prediction of RASER-MRI profiles
University essay from Linköpings universitet/Medie- och InformationsteknikAbstract : Magnetic resonance imaging (MRI) is a critical diagnostic tool in medical practice, enabling non-invasive visualization of anatomy and physiological processes. Nonetheless, MRI has inherent spatial resolution limitations, which may limit its diagnostic capabilities. READ MORE