The EU Proposal for a General Data Protection Regulation and the roots of the 'right to be forgotten'

By Alessandro Mantelero. 2013

291 citations recorded by the source corpus.

Subfields: Artificial Intelligence, 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 Artificial Intelligence

1. Luke S. Zettlemoyer
2. Percy Liang
3. Minjoon Seo
4. Mohit Bansal
5. Armen Aghajanyan
6. Hannaneh Hajishirzi
7. Nicolas Papernot
8. Sohee Yang

In Political Science and International Relations

1. Varun Chandrasekaran
2. Nicolas Papernot

In Sociology and Political Science

1. Varun Chandrasekaran
2. Nicolas Papernot
3. David Lie

Citations in the corpus

• Machine Unlearning (2019, background): “Recently introduced legislation, such as the General Data Protection Regulation (GDPR) in the European Union [5], the California Consumer Privacy Act [6] in the United States, and PIPEDA privacy legislation in Canada [7] include provisions that require the so-called right to be forgotten [8].”
• Knowledge Unlearning for Mitigating Privacy Risks in Language Models (2022, background): “Practitioners are required to delete personal information from the LMs by individuals’ request because each individual has the “Right To Be Forgotten (RTBF)" (Mantelero, 2013; Graves et al., 2021) and can limit the direct and indirect commercial use of their personal information (Villaronga et al.”
• Variational Bayesian Unlearning (2020, background): “, enforced by the General Data Protection Regulation in the European Union [24]) by studying the problem of machine unlearning for Bayesian models.”
• 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 [37, 38], which is primarily motivated by data protection and privacy regulations [39, 40, 41, 42].”
• Unrolling SGD: Understanding Factors Influencing Machine Unlearning (2021, background): “This is particularly relevant in scenarios where a particular user who owns the data later revokes access to it–a possibility popularized by the right-to-be-forgotten in the GDPR [3].”
• Towards Unbounded Machine Unlearning (2023, background): “Regulations such as EU’s General Data Protection Regulation [Mantelero, 2013] stipulate that individuals can request to have their data ‘deleted’ (the ‘right to be forgotten’).”
• Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning (2024, background): “In response to these concerns, regulations like the EU’s General Data Protection Regulation (GDPR) (Mantelero, 2013; Voigt & Von dem Bussche, 2017) and the US’s California Consumer Privacy Act (CCPA) (CCPA, 2018) have mandated the Right to be Forgotten , requiring applications to support the…”
• EU General Data Protection Regulation: Changes and implications for personal data collecting companies (2017, background): “It specifically aims to provide individuals with better capabilities for controlling and managing their personal data (Mantelero, 2013), hence striving to reinforce the data subjects’ trust in personal data collecting companies.”