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The right of an individual to request the deletion of their personal data by an entity that might be storing it -- referred to as the right to be forgotten -- has been explicitly recognized, legislated, and exercised in several jurisdictions across the world, including the European Union, Argentina, and California.
The knowledge complexity of interactive proof systems
Shafi Goldwasser, Silvio Micali, and Charles Rackoff · 1989
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Oblivious data structures: Applications to cryptography
Daniele Micciancio · 1997
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Universally composable security: A new paradigm for cryptographic protocols
Ran Canetti · 2001
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Foundations of Cryptography: Basic Tools
Oded Goldreich · 2001
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Anti-presistence: history independent data structures
Moni Naor and Vanessa Teague · 2001
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Calibrating noise to sensitivity in private data analysis
Cynthia Dwork, Frank McSherry, Kobbi Nissim, and Adam D. Smith · 2006
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Secure code update for embedded devices via proofs of secure erasure
Daniele Perito and Gene Tsudik · 2010
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One-time computable self-erasing functions
Stefan Dziembowski, Tomasz Kazana, and Daniel Wichs · 2011
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Argentina’s right to be forgotten
Edward L Carter · 2013
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Efficient proofs of secure erasure
Nikolaos P. Karvelas and Aggelos Kiayias · 2014
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A simpler variant of universally composable security for standard multiparty computation
Ran Canetti, Asaf Cohen, and Yehuda Lindell · 2015
Cited alongside, same era.
Towards making systems forget with machine unlearning
Yinzhi Cao and Junfeng Yang · 2015
Cited alongside, same era.
Official Journal of the European Union (OJ)
Regulation (eu) 2016/679 of the european parliament and of the council of 27 april 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing directive 95/46 (general data protection regulation) · 2016
Cited alongside, same era.
Bridging the gap between computer science and legal approaches to privacy
Kobbi Nissim, Aaron Bembenek, Alexandra Wood, Mark Bun, Marco Gaboardi, Urs Gasser, David R O’Brien, Thomas Steinke, and Salil Vadhan · 2017
Cited alongside, same era.
Machine learning models that remember too much
Congzheng Song, Thomas Ristenpart, and Vitaly Shmatikov · 2017
Cited alongside, same era.
Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot · 2019
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Quantum encryption with certified deletion
Anne Broadbent and Rabib Islam · 2019
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Towards formalizing the gdpr’s notion of singling out
Aloni Cohen and Kobbi Nissim · 2019
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Proving erasure
Xavier Coiteux-Roy and Stefan Wolf · 2019
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Privacy attacks on network embeddings
Michael Ellers, Michael Cochez, Tobias Schumacher, Markus Strohmaier, and Florian Lemmerich · 2019
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Salil P. Vadhan · 2017
Cited alongside, same era.
https://oag.ca.gov/privacy/ccpa , 2018
California consumer privacy act (ccpa) · 2018
Cited alongside, same era.
Forgetting personal data and revoking consent under the GDPR: challenges and proposed solutions
Eugenia A. Politou, Efthimios Alepis, and Constantinos Patsakis · 2018
Cited alongside, same era.
Algorithms that remember: Model inversion attacks and data protection law
Michael Veale, Reuben Binns, and Lilian Edwards · 2018
Cited alongside, same era.
Later among the works it cites.
Eternal sunshine of the spotless net: Selective forgetting in deep networks
Aditya Golatkar, Alessandro Achille, and Stefano Soatto · 2019
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Making AI forget you: Data deletion in machine learning
Antonio Ginart, Melody Y. Guan, Gregory Valiant, and James Zou · 2019
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Machine unlearning: Linear filtration for logit-based classifiers
Thomas Baumhauer, Pascal Schöttle, and Matthias Zeppelzauer · 2020
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”amnesia” - machine learning models that can forget user data very fast
Sebastian Schelter · 2020
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