The EU General Data Protection Regulation (GDPR)

By Paul Voigt, Axel von dem Bussche. 2017

1,417 citations recorded by the source corpus.

Subfields: Law, Political Science and International Relations, Sociology and Political Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Law

1. Oguzhan Gencoglu

In Political Science and International Relations

1. Isabel Valera
2. Bernhard Schölkopf

In Sociology and Political Science

1. Tianjian Chen
2. Isabel Valera
3. Mark Harman
4. Amir-Hossein Karimi
5. Jindong Wang
6. Qiang Yang
7. Bernhard Schölkopf
8. Himabindu Lakkaraju

Citations in the corpus

• Real-World Image Datasets for Federated Learning (2019, background): “In the past few years, there has been a strengthening private data protection globally, with law enforcement including the General Data Protection Regulation (GDPR) [Voigt and Bussche, 2017], implemented by the European Union on May 25, 2018.”
• Towards Robust and Reliable Algorithmic Recourse (2021, background): “Consequently, there is growing emphasis on designing tools and techniques which can provide recourse to individuals who have been adversely impacted by predicted outcomes [30].”
• Can Foundation Models Wrangle Your Data? (2022, background): “Private Data With the proliferation of important data privacy regulations and legal frameworks [3, 79], the separation between private data held by individuals and organizations and publicly”
• Machine Learning Testing: Survey, Landscapes and Horizons (2019, background): “Data privacy has been regulated by law makers, for example, the EU General Data Protection Regulation (GDPR) [59] and California Consumer Privacy Act (CCPA) [60].”
• A Survey of Machine Unlearning (2022, neutral): “However, the latter focuses only on the data perspective following the General Data Protection Regulation (GDPR) [160], while machine unlearning also addresses privacy problems from a model perspective.”
• HARK Side of Deep Learning - From Grad Student Descent to Automated Machine Learning (2019, background): “For instance, European Union General Data Protection Regulation (GDPR) [86] introduced a potential accountability mechanism by right to explanation since May 2018, but the concrete consequences are still yet to be observed.”
• FedVision: An Online Visual Object Detection Platform Powered by Federated Learning (2020, background): “It has the potential to help computer vision-based applications to comply with stricter data privacy protection laws such as GDPR (Voigt and Bussche 2017).”
• Algorithmic Recourse: from Counterfactual Explanations to Interventions (2020, background): “As a result, there is increasing social and legal pressure (Voigt & Von dem Bussche, 2017) to provide explanations that help the affected individuals to understand “why a prediction was output”, as well as “how to act” to obtain a desired outcome.”