Essays about: "Privacy"

Showing result 6 - 10 of 1084 essays containing the word Privacy.

  1. 6. Headphone Bubbles : Negotiating Space through Audio

    University essay from Uppsala universitet/Kulturgeografiska institutionen

    Author : Erik Viktorsson; [2024]
    Keywords : Privacy; headphones; public space; audio; music; Integritet; hörlurar; offentliga rum; ljud; musik;

    Abstract : Headphones are a common feature of public space. They allow users to determine what noise they hear and are visible to others. This paper aims to explore how headphones affect spatial perception through personal choice and social context. READ MORE

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

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

    Author : Alexander Florean; [2024]
    Keywords : 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;

    Abstract : 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. READ MORE

  4. 8. Attack Strategies in Federated Learning for Regression Models : A Comparative Analysis with Classification Models

    University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Author : Sofia Leksell; [2024]
    Keywords : Federated Learning; Adversarial Attacks; Regression; Classification;

    Abstract : Federated Learning (FL) has emerged as a promising approach for decentralized model training across multiple devices, while still preserving data privacy. Previous research has predominantly concentrated on classification tasks in FL settings, leaving  a noticeable gap in FL research specifically for regression models. READ MORE

  5. 9. Development of a System Dynamic Model of Mental Healthcare Structure in Stockholm

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Julia Osswald; [2024]
    Keywords : Mental health; mental healthcare; healthcare structure; system dynamics; simulation; emergency care; modeling; primary care; specialized care; Stockholm; mental healthcare system; Psykisk hälsa; psykiatrisk vård; vårdstruktur; systemdynamisk modell; simulering; akutsjukvård; primärvård; specialiserad vård; psykiatriskt sjukvårdssystem; Stockholm.;

    Abstract : Mental illnesses are the leading cause of disability in the world today, affecting nearly a billion people including 14% of the world’s adolescents. Mental illnesses include both psychiatric conditions and inconveniences and is a broad term to describe multiple different conditions in varying severity. READ MORE

  6. 10. GDPR Compliance in EU-US Data Transfers - Examining the impact of the EU Commission’s 2023 adequacy decision on surveillance risks

    University essay from Lunds universitet/Institutionen för handelsrätt

    Author : Linda Kidwell; [2024]
    Keywords : General Data Protection Regulation; Adequacy Decision; EU Commission; Surveillance law; Third country data transfers; US intelligence agencies; Law and Political Science;

    Abstract : International data transfers serve to support the global economy, facilitating international collaboration and economic expansion. However this increased productivity comes at a cost, namely amplified personal data privacy and security risks. READ MORE