Sökning: "Data privacy"

Visar resultat 1 - 5 av 1062 uppsatser innehållade orden Data privacy.

1. 1. En vågskål mellan anpassning och intrång. En kvalitativ studie om hur generation Z uppfattar sin integritet vid riktad reklam online.

   Kandidat-uppsats, Göteborgs universitet/Institutionen för journalistik, medier och kommunikation

   Författare :Stina Stensson; [2024-03-01]
   Nyckelord :Generation Z; Integritet; Riktad reklam; Online;

   Sammanfattning : In today's society, the internet is an integral part of people's everyday lives, where every digital interaction creates a unique imprint. Through our online activities, we are carefully tracked and analyzed by various actors, primarily companies, who strive to create advertising that reaches us in our digital habitat. LÄS MER

3. 2. Exploring the Integration of Artificial Intelligence Tools in English as a Foreign Language (EFL) Pedagogy. A Literature Review

   Uppsats för yrkesexamina på grundnivå, Göteborgs universitet / Lärarutbildningsnämnden

   Författare :Rasmus Andersson; Axel Ringhagen; Albin Tapper; [2024-01-18]
   Nyckelord :Teachers; implementing AI; EFL classroom;

   Sammanfattning : The introduction of artificial intelligence (AI) tools in schools has sparked a polarised debate about its negative impact on critical thinking, plagiarism, and problem-solving skills. Future educators will be affected by the tools, prompting this thesis to explore their potential benefits and challenges through a literature review. LÄS MER

4. 3. Cyberhygien hos högskolestudenter - Vilka åtgärder behövs för att upprätthålla en god cyberhygien bland högskolestudenter i Sverige

   Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Marina Vacari; Cecilia Eriksson; [2024]
   Nyckelord :Cyberhygien; cyberattacker; cyberhot; online integritet; säkerhet; informationssäkerhet;

   Sammanfattning : Den digitala interaktionen har blivit en väsentlig del av individers vardag. Ökad användning av digitala tjänster har också lett till en exponentiell ökning av diverse cyberhot. LÄS MER

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

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Sofia Leksell; [2024]
   Nyckelord :Federated Learning; Adversarial Attacks; Regression; Classification;

   Sammanfattning : 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. LÄS MER

7. 5. 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