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Differential privacy
Dwork, C · 2006
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Open repository of web crawl data, 2008
Crawl, C · 2008
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Counterfactual explanations without opening the black box: Automated decisions and the gdpr
Wachter, S., Mittelstadt, B., and Russell, C · 2017
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Learning and memorization
Chatterjee, S · 2018
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The role of differential privacy in gdpr compliance
Cummings, R. and Desai, D · 2018
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The eu general data protection regulation (gdpr): a commentary
Feiler, L., Forgó, N., and Weigl, M · 2018
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Data controllers, data processors, and the growing use of connected products in the enterprise: Managing risks, understanding benefits, and complying with the gdpr
Hintze, M · 2018
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Data protection, artificial intelligence and cognitive services: is the general data protection regulation (gdpr)‘artificial intelligence-proof’?
Mitrou, L · 2018
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The law of everything. broad concept of personal data and future of eu data protection law
Purtova, N · 2018
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Algorithms that remember: model inversion attacks and data protection law
Veale, M., Binns, R., and Edwards, L · 2018
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Humans forget, machines remember: Artificial intelligence and the right to be forgotten
Villaronga, E. F., Kieseberg, P., and Li, T · 2018
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The control by and rights of the data subject under the gdpr
Wolters, P · 2018
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The secret sharer: Evaluating and testing unintended memorization in neural networks
Carlini, N., Liu, C., Erlingsson, Ú., Kos, J., and Song, D · 2019
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Data protection impact assessment list
European Data Protection Supervisor · 2019
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Differential privacy and the gdpr
Holzel, J · 2019
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Towards a method for data protection impact assessment: Making sense of gdpr requirements
Kloza, D., Van Dijk, N., Casiraghi, S., Vazquez Maymir, S., Roda, S., Tanas, A., and Konstantinou, I · 2019
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Language models as knowledge bases?
Petroni, F., Rocktäschel, T., Lewis, P., Bakhtin, A., Wu, Y., Miller, A. H., and Riedel, S · 2019
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A right to reasonable inferences: re-thinking data protection law in the age of big data and ai
Wachter, S. and Mittelstadt, B · 2019
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Forget me, forget me not: Elements of erasure to determine the sufficiency of a gdpr article 17 request
Yaish, H · 2019
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The right to be forgotten in the digital age: The challenges of data protection beyond borders
Fabbrini, F. and Celeste, E · 2020
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What neural networks memorize and why: Discovering the long tail via influence estimation
Feldman, V. and Zhang, C · 2020
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They who must not be identified—distinguishing personal from non-personal data under the gdpr
Finck, M. and Pallas, F · 2020
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The pile: An 800gb dataset of diverse text for language modeling
Gao, L., Biderman, S., Black, S., Golding, L., Hoppe, T., Foster, C., Phang, J., He, H., Thite, A., Nabeshima, N., et al · 2020
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An american’s guide to the gdpr
Jones, M. L. and Kaminski, M. E · 2020
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Scaling laws for neural language models
Kaplan, J., McCandlish, S., Henighan, T., Brown, T. B., Chess, B., Child, R., Gray, S., Radford, A., Wu, J., and Amodei, D · 2020
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Governing machine-learning models: challenging the personal data presumption
Leiser, M. and Dechesne, F · 2020
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Gdpr and research – an overview for researchers, 2024
Research, U. and Innovation · 2020
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How much knowledge can you pack into the parameters of a language model?
Roberts, A., Raffel, C., and Shazeer, N · 2020
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The impact of the general data protection regulation (gdpr) on artificial intelligence
Sartor, G., Lagioia, F., et al · 2020
Cited alongside, same era.
On the dangers of stochastic parrots: Can language models be too big?
Bender, E. M., Gebru, T., McMillan-Major, A., and Shmitchell, S · 2021
Cited alongside, same era.
Reviving purpose limitation and data minimisation in data-driven systems
Biega, A. J. and Finck, M · 2021
Cited alongside, same era.
Machine unlearning
Bourtoule, L., Chandrasekaran, V., Choquette-Choo, C. A., Jia, H., Travers, A., Zhang, B., Lie, D., and Papernot, N · 2021
Cited alongside, same era.
When is memorization of irrelevant training data necessary for high-accuracy learning?
Brown, G., Bun, M., Feldman, V., Smith, A., and Talwar, K · 2021
Cited alongside, same era.
Offentlige myndigheders brug af kunstig intelligens
Datatilsynet · 2023
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The growing energy footprint of artificial intelligence
de Vries, A · 2023
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Regulating chatgpt and other large generative ai models
Hacker, P., Engel, A., and Mauer, M · 2023
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Sok: Memorization in general-purpose large language models
Hartmann, V., Suri, A., Bindschaedler, V., Evans, D., Tople, S., and West, R · 2023
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Do large language models know about facts?
Hu, X., Chen, J., Li, X., Guo, Y., Wen, L., Yu, P. S., and Guo, Z · 2023
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Algorithms that forget: Machine unlearning and the right to erasure
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Cao, B., Lin, H., Han, X., Sun, L., Yan, L., Liao, M., Xue, T., and Xu, J · 2021
Cited alongside, same era.
Extracting training data from large language models
Carlini, N., Tramer, F., Wallace, E., Jagielski, M., Herbert-Voss, A., Lee, K., Roberts, A., Brown, T., Song, D., Erlingsson, U., et al · 2021
Cited alongside, same era.
Measuring and improving consistency in pretrained language models
Elazar, Y., Kassner, N., Ravfogel, S., Ravichander, A., Hovy, E., Schütze, H., and Goldberg, Y · 2021
Cited alongside, same era.
A legal framework for ai training data—from first principles to the artificial intelligence act
Hacker, P · 2021
Cited alongside, same era.
Study on the appropriate safeguards under article 89 (1) gdpr for the processing of personal data for scientific research
Kindt, E., Fontanillo López, C. A., Bergholm, J., Czarnocki, J., Kanevskaia, O., and Herveg, J · 2021
Cited alongside, same era.
On memorization in probabilistic deep generative models
van den Burg, G. and Williams, C · 2021
Cited alongside, same era.
Data Subject Rights under the GDPR
Vrabec, H. U · 2021
Cited alongside, same era.
Juliussen, B. A., Rui, J. P., and Johansen, D · 2023
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Privacy in large language models: Attacks, defenses and future directions
Li, H., Chen, Y., Luo, J., Wang, J., Peng, H., Kang, Y., Zhang, X., Hu, Q., Chan, C., Xu, Z., et al · 2023
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Llm is like a box of chocolates: the non-determinism of chatgpt in code generation
Ouyang, S., Zhang, J. M., Harman, M., and Wang, M · 2023
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Peng, B., Galley, M., He, P., Cheng, H., Xie, Y., Hu, Y., Huang, Q., Liden, L., Yu, Z., Chen, W., et al · 2023
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Fairness and fair use in generative ai
Sag, M · 2023
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Detecting pretraining data from large language models
Shi, W., Ajith, A., Xia, M., Huang, Y., Liu, D., Blevins, T., Chen, D., and Zettlemoyer, L · 2023
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Understanding and mitigating copying in diffusion models
Somepalli, G., Singla, V., Goldblum, M., Geiping, J., and Goldstein, T · 2023
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Survey on factuality in large language models: Knowledge, retrieval and domain-specificity
Wang, C., Liu, X., Yue, Y., Tang, X., Zhang, T., Jiayang, C., Yao, Y., Gao, W., Hu, X., Qi, Z., et al · 2023
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Emergent and predictable memorization in large language models
Biderman, S., Prashanth, U., Sutawika, L., Schoelkopf, H., Anthony, Q., Purohit, S., and Raff, E · 2024
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The files are in the computer: Copyright, memorization, and generative ai
Cooper, A. F. and Grimmelmann, J · 2024
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Cooper, A. F., Choquette-Choo, C. A., Bogen, M., Jagielski, M., Filippova, K., Liu, K. Z., Chouldechova, A., Hayes, J., Huang, Y., Mireshghallah, N., et al · 2024
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Personal info in ai models threatens split in us, eu approach, bloomberg law
Coyer, C · 2024
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Opinion 28/2024 on certain data protection aspects related to the processing of personal data in the context of ai models
EDPB · 2024
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URL https://www.enforcementtracker.com/
GDPR ET, G., 2024 · 2024
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Diskussionspapier: Large language models und personenbezogene daten
Hamburg, L · 2024
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Propile: Probing privacy leakage in large language models
Kim, S., Yun, S., Lee, H., Gubri, M., Yoon, S., and Oh, S. J · 2024
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Scaling laws for fact memorization of large language models
Lu, X., Li, X., Cheng, Q., Ding, K., Huang, X., and Qiu, X · 2024
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Nyt v. openai: The times’s about-face
Pope, A · 2024
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How many van goghs does it take to van gogh? finding the imitation threshold
Verma, S., Rassin, R., Das, A., Bhatt, G., Seshadri, P., Shah, C., Bilmes, J., Hajishirzi, H., and Elazar, Y · 2024
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Will we run out of data? limits of llm scaling based on human-generated data
Villalobos, P., Ho, A., Sevilla, J., Besiroglu, T., Heim, L., and Hobbhahn, M · 2024
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Machine unlearning: Solutions and challenges
Xu, J., Wu, Z., Wang, C., and Jia, X · 2024
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A survey on large language model (llm) security and privacy: The good, the bad, and the ugly
Yao, Y., Duan, J., Xu, K., Cai, Y., Sun, Z., and Zhang, Y · 2024
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