---
title: "Matthew Jagielski — papers of 2023 — Elamur Research"
description: "Matthew Jagielski — papers of 2023: 3 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/matthew-jagielski/year/2023/"
---
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# Matthew Jagielski — papers of 2023 — Elamur Research

3 papers · [all years of Matthew Jagielski](https://md.research.elamur.ai/free/en/authors/matthew-jagielski/#years)

- [Scalable Extraction of Training Data from (Production) Language Models arXiv:2311.17035](https://md.research.elamur.ai/free/en/papers/nasr-2023-scalable-extraction-training-data-production/) — Milad Nasr, Nicholas Carlini, Jonathan Hayase, et al. · 2023 · 211 citations

**[Are aligned neural networks adversarially aligned?](https://md.research.elamur.ai/free/en/papers/carlini-2023-aligned-neural-networks-adversarially-aligned/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Nicholas Carlini, Milad Nasr, Christopher A. Choquette-Choo, et al.*2023 · 157 citations*

**[Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy](https://md.research.elamur.ai/free/en/papers/ippolito-2023-preventing-generation-verbatim-memorization-language/) [International Natural Language Generation Conference (INLG)](https://md.research.elamur.ai/free/en/venues/inlg/)**Daphne Ippolito, Florian Tramer, Milad Nasr, et al.*2023 · 68 citations*