Sökning: "Privacy metrics"

Visar resultat 1 - 5 av 24 uppsatser innehållade orden Privacy metrics.

1. 1. Variational AutoEncoders and Differential Privacy : balancing data synthesis and privacy constraints

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

   Författare :Baptiste Bremond; [2024]
   Nyckelord :TVAE; Differential privacy; Tabular data; Synthetic data; DP-SGD; TVAE; differentiell integritet; tabelldata; syntetiska data; DP-SGD;

   Sammanfattning : 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. LÄS MER

3. 2. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

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

   Författare :Alexander Florean; [2024]
   Nyckelord :Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

   Sammanfattning : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. LÄS MER

4. 3. Classifying femur fractures using federated learning

   Master-uppsats, Linköpings universitet/Statistik och maskininlärning

   Författare :Hong Zhang; [2024]
   Nyckelord :Atypical femur fracture; Federated Learning; Neural Network; Classification;

   Sammanfattning : The rarity and subtle radiographic features of atypical femoral fractures (AFF) make it difficult to distinguish radiologically from normal femoral fractures (NFF). Compared with NFF, AFF has subtle radiological features and is associated with the long-term use of bisphosphonates for the treatment of osteoporosis. LÄS MER

5. 4. Impact of fixed-rate fingerprinting defense on cloud gaming experience

   Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Kent Thang; Adam Nyberg; [2023]
   Nyckelord :cloud gaming; QoE; QoS; proxy; fingerprinting defense; website fingerprinting attack;

   Sammanfattning : Cloud gaming has emerged as a popular solution to meet the increasing hardware de-mands of modern video games, allowing players with dated or non-sufficient hardwareto access high-quality gaming experiences. However, the growing reliance on cloud ser-vices has led to heightened concerns regarding user privacy and the risk of fingerprintingattacks. LÄS MER

7. 5. Analysing the possibilities of a needs-based house configurator

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

   Författare :Roman Ermolaev; [2023]
   Nyckelord :Needs-based; Configurator; House configurator; CNN; BERT; DistilBERT; Swedish;

   Sammanfattning : A needs-based configurator is a system or tool that assists users in customizing products based on their specific needs. This thesis investigates the challenges of obtaining data for a needs-based machine learning house configurator and identifies suitable models for its implementation. LÄS MER