General Data Protection Regulation

By Agustí Verde Parera, À. Parera, Xavier Costa. 2018

Presentacio sobre l'Oficina de Proteccio de Dades Personals de la UAB i la politica Open Science. Va formar part de la conferencia "Les politiques d'Open Data / Open Acces: Implicacions a la recerca" orientada a investigadors i gestors de projectes europeus que va tenir lloc el 20 de setembre de 2018 a la Universitat Autonoma de Barcelona

Subfields: Privacy & Security

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In Privacy & Security

Citations in the corpus

SecureBoost: A Lossless Federated Learning Framework (2019, methodology): “The GDPR is designed to give users more control over their personal data (Regulation 2016; Albrecht 2016; Mayer-Schonberger and Padova 2015; Goodman and Flaxman 2016).”
Exploiting Unintended Feature Leakage in Collaborative Learning (2018, background): “Membership inference can also help demonstrate inappropriate uses of data (e.g., using health-care records to train ML models for unauthorized purposes [4]), enforce individual rights such as the “right to be forgotten,” and/or detect violations of data-protection regulations such as the GDPR [19].”
An Interpretable Model with Globally Consistent Explanations for Credit Risk (2018, methodology): “With the new General Data Protection Regulation (GDPR) [12] regulations such as “right to an explanation,” there could still be little incentive for companies to provide anything more than an modestly local explanation, even if a globally interpretable model existed.”
Federated learning for medical image analysis: A survey (2023, background): “Overview of federated learning (FL) for medical image analysis, including a server and multiple clients.”
The Natural Auditor: How To Tell If Someone Used Your Words To Train Their Model (2018, background): “Data-protection policies and regulations such as the European Union’s General Data Protection Regulation (GDPR) [11] give users the right to know how their data is processed.”
Fairness and Transparency of Machine Learning for Trustworthy Cloud Services (2018, background): “Finally, there are aspects of transparency related to the purpose for which data are used, as GDPR also contemplates the right of the data subject to “be informed of the existence of the processing operation and its purposes” [8].”
Survey on Network Slicing for Internet of Things Realization in 5G Networks (2021, background): “This has to follow several data privacy standards and regulations, which may be international or specialised for a particular geographical region, such as General Data Protection Regulation (GDPR) [66].”
Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues (2020, background): “Typically, data belongs to different parties, which may fail to exchange data among themselves due to privacy restrictions, such as General Data Protection Regulation (GDPR) [1].”
Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models (2022, background): “Machine unlearning is a technique that forces a trained model to forget a previously learned sample [12, 54], which is primarily motivated by data protection and privacy regulations [37, 57, 78, 91].”