Essays about: "Anonymisering"

Showing result 1 - 5 of 10 essays containing the word Anonymisering.

1. 1. Valuing Differential Privacy : Assessing the value of personal data anonymization solutions, specifically Differential Privacy-solutions, for companies in the mobility sector

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Axel Andersson; Sebastian Borgernäs; [2022]
   Keywords : differential privacy; hedonic pricing method; logistic regression; GDPR; privacy regulation; valuation; risk assessment; valuing emerging technologies; valuing non-market goods and services; mobility;

   Abstract : This paper aims to determine the value of the product based on the mathematical concept of Differential Privacy, by assessing the value of the business opportunities it enables and the value of the possible GDPR-fines it prevents. To delimit the scope of the research the analysis will focus on what the value of personal data is for companies within the mobility sector. READ MORE

3. 2. Synthetic Graph Generation at Scale : A novel framework for generating large graphs using clustering, generative models and node embeddings

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Johan Hammarstedt; [2022]
   Keywords : Data Anonymization; Graph Learning; Generative Graph Modeling; Graph Clustering; Node Embedding; Synthetic Data; Dataanonymisering; Grafinlärning; Generativa graf-modeller; Graf klustring; Länk prediktion; Nodinbäddning; Syntetisk data;

   Abstract : The field of generative graph models has seen increased popularity during recent years as it allows us to model the underlying distribution of a network and thus recreate it. From allowing anonymization of sensitive information in social networks to data augmentation of rare diseases in the brain, the ability to generate synthetic data has multiple applications in various domains. READ MORE

4. 3. Competition and Data Protection Law in Conflict : Data Protection as a Justification for Anti-Competitive Conduct and a Consideration in Designing Competition Law Remedies

   University essay from Uppsala universitet/Juridiska institutionen

   Author : David Bornudd; [2022]
   Keywords : competition law; antitrust; data protection law; GDPR; the charter of fundamental rights; the intersection of competition and data protection law; big tech; abuse of a dominant position; objective justifications; efficiencies; article 102 TFEU; consumer welfare; competition remedies; anonymization; big data; personal data; German Facebook Case; Google Fitbit; konkurrensrätt; konkurrensbegränsning; dataskydd; dataskyddsförordningen; missbruk av dominerande ställning; objektivt rättfärdigande; artikel 102 FEUF; anonymisering;

   Abstract : Competition and data protection law are two powerful regimes simultaneously shaping the use of digital information, which has given rise to new interactions between these areas of law. While most views on this intersection emphasize that competition and data protection law must work together, nascent developments indicate that these legal regimes may sometimes conflict. READ MORE

5. 4. Machine Learning with Reconfigurable Privacy on Resource-Limited Edge Computing Devices

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Zannatun Nayem Tania; [2021]
   Keywords : Data Privacy; Resource Management; Machine Learning; Fitbit; Internet of Things IoT ; Optimization; Dataintegritet; Resurshantering; Machine Learning; Fitbit; Internet of Things IoT ; Optimering;

   Abstract : Distributed computing allows effective data storage, processing and retrieval but it poses security and privacy issues. Sensors are the cornerstone of the IoT-based pipelines, since they constantly capture data until it can be analyzed at the central cloud resources. However, these sensor nodes are often constrained by limited resources. READ MORE

6. 5. A compact language model for Swedish text anonymization

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Victor Wiklund; [2020]
   Keywords : ;

   Abstract : The General Data Protection Regulation (GDPR) that came into effect in 2018 states that for personal information to be freely used for research and statistics it needs to be anonymized first. To properly anonymize a text one needs to identify thewords that carry personally identifying information such as names, locations and organizations. READ MORE