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Visar resultat 1 - 5 av 328 avhandlingar som matchar ovanstående sökkriterier.
1. Differential Privacy - A Balancing Act
Sammanfattning : Data privacy is an ever important aspect of data analyses. Historically, a plethora of privacy techniques have been introduced to protect data, but few have stood the test of time. LÄS MER
2. Data Privacy for Big Automotive Data
Sammanfattning : In an age where data is becoming increasingly more valuable as itallows for data analysis and machine learning, big data has become ahot topic. With big data processing, analyses can be carried out onhuge amounts of user data. LÄS MER
3. Towards Scalable Machine Learning with Privacy Protection
Sammanfattning : The increasing size and complexity of datasets have accelerated the development of machine learning models and exposed the need for more scalable solutions. This thesis explores challenges associated with large-scale machine learning under data privacy constraints. LÄS MER
4. Secure and Privacy-Preserving Cloud-Assisted Computing
Sammanfattning : Smart devices such as smartphones, wearables, and smart appliances collect significant amounts of data and transmit them over the network forming the Internet of Things (IoT). Many applications in our daily lives (e.g., health, smart grid, traffic monitoring) involve IoT devices that often have low computational capabilities. LÄS MER
5. Advancing Models of Privacy Decision Making : Exploring the What & How of Privacy Behaviours
Sammanfattning : People's decisions do not happen in a vacuum; there are multiple factors that may affect them. There are external determinants, such as cost/benefit calculation of decision outcomes. There are also internal factors, such as attitudes, personality, emotions, age, and nationality. LÄS MER