Essays about: "differentiell integritet"
Showing result 1 - 5 of 7 essays containing the words differentiell integritet.
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1. Variational AutoEncoders and Differential Privacy : balancing data synthesis and privacy constraints
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis investigates the effectiveness of Tabular Variational Auto Encoders (TVAEs) in generating high-quality synthetic tabular data and assesses their compliance with differential privacy principles. The study shows that while TVAEs are better than VAEs at generating synthetic data that faithfully reproduces the distribution of real data as measured by the Synthetic Data Vault (SDV) metrics, the latter does not guarantee that the synthetic data is up to the task in practical industrial applications. READ MORE
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2. Energy-Efficient Private Forecasting on Health Data using SNNs
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Health monitoring devices, such as Fitbit, are gaining popularity both as wellness tools and as a source of information for healthcare decisions. Predicting such wellness goals accurately is critical for the users to make informed lifestyle choices. READ MORE
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3. Privacy-preserving Synthetic Data Generation for Healthcare Planning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recently, a variety of machine learning techniques have been applied to different healthcare sectors, and the results appear to be promising. One such sector is healthcare planning, in which patient data is used to produce statistical models for predicting the load on different units of the healthcare system. READ MORE
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4. Real-time forecasting of dietary habits and user health using Federated Learning with privacy guarantees
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Modern health self-monitoring devices and applications, such as Fitbit and MyFitnessPal, empower users to take concrete actions and set fitness and lifestyle goals based on their recorded trends and statistics. Predicting such trends is beneficial in the road of achieving long-time targets, as the individuals can adjust their diets and habits at any point to guarantee success. READ MORE
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5. An Analysis of Notions of Differential Privacy for Edge-Labeled Graphs
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : The user data in social media platforms is an excellent source of information that is beneficial for both commercial and scientific purposes. However, recent times has seen that the user data is not always used for good, which has led to higher demands on user privacy. READ MORE