--- title: "Matthew Jagielski — author profile and papers" description: "Matthew Jagielski, ETH Zurich: 2 papers on Elamur Research (2020–2023), h-index 20 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/matthew-jagielski/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/matthew-jagielski/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Matthew Jagielski # Matthew Jagielski 2 papers on this site · 2020–2023 current affiliation [ETH Zurich](https://ror.org/05a28rw58), Zurich, Switzerland; [Google DeepMind (United Kingdom)](https://ror.org/00971b260), London, United Kingdom; [Anthropic (United States)](https://ror.org/056y0v115), San Francisco; [Carnegie Mellon University](https://ror.org/05x2bcf33), Pittsburgh, United States Matthew Jagielski has 2 papers on this site, in 2020–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Eric Wallace](https://md.research.elamur.ai/free/en/authors/eric-wallace/), [Florian Tramer](https://md.research.elamur.ai/free/en/authors/florian-tramer/), [Katherine Lee](https://md.research.elamur.ai/free/en/authors/katherine-lee/). [OpenAlex](https://openalex.org/A5054655342) · [ORCID](https://orcid.org/0000-0002-9749-0696) · [**h-index 20**](https://openalex.org/authors/A5054655342) · [91 works](https://openalex.org/works?filter=author.id:A5054655342) · [2 738 citations](https://openalex.org/works?filter=author.id:A5054655342&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [2 works on this site](https://md.research.elamur.ai/free/en/authors/matthew-jagielski/#papers) · [1 692 citations in our library](https://md.research.elamur.ai/free/en/authors/matthew-jagielski/cited-by/) · 2 more works in our library The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Matthew+Jagielski) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Matthew+Jagielski) · [dblp](https://dblp.org/search?q=Matthew+Jagielski) · [ACL Anthology](https://aclanthology.org/search/?q=Matthew+Jagielski) ## Affiliations - [Google DeepMind (United Kingdom)](https://ror.org/00971b260) · London, United Kingdom —current · 2023–2026 on 11 papers - [Anthropic (United States)](https://ror.org/056y0v115) · San Francisco —current · 2025–2026 on 4 papers - [ETH Zurich](https://ror.org/05a28rw58) · Zurich, Switzerland —current · 2023–2026 on 3 papers - [Carnegie Mellon University](https://ror.org/05x2bcf33) · Pittsburgh, United States —current · 2026 on 1 paper - [Aarhus University](https://ror.org/01aj84f44) · Aarhus, Denmark —2025 on 2 papers - [Google (United States)](https://ror.org/00njsd438) · Mountain View, United States —2019–2024 on 16 papers - [Northeastern University](https://ror.org/04t5xt781) · Boston, United States —2018–2022 on 13 papers From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Topics [Language models & pretraining 2](https://md.research.elamur.ai/free/en/topics/language-models/) ## Papers The most cited first (OpenAlex and our library). 1. **[Extracting Training Data from Large Language Models](https://md.research.elamur.ai/free/en/papers/carlini-2020-extracting-training-data-large-language/)** *(2020 · 901 citations)* Large language models are often assumed not to leak their training data, because they are trained on huge deduplicated corpora for few epochs and barely overfit. 2. **[Scalable Extraction of Training Data from (Production) Language Models](https://md.research.elamur.ai/free/en/papers/nasr-2023-scalable-extraction-training-data-production/)** *(2023 · 197 citations)* The paper asks how much training data an attacker can actually pull out of a language model without knowing what the model was trained on. ## Also in our library 2 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 12 co-authors with a page, the most papers together first. - [Eric Wallace](https://md.research.elamur.ai/free/en/authors/eric-wallace/) ×2 - [Florian Tramer](https://md.research.elamur.ai/free/en/authors/florian-tramer/) ×2 - [Katherine Lee](https://md.research.elamur.ai/free/en/authors/katherine-lee/) ×2 - [Nicholas Carlini](https://md.research.elamur.ai/free/en/authors/nicholas-carlini/) ×2 - [Adam Roberts](https://md.research.elamur.ai/free/en/authors/adam-roberts/) - [Ariel Herbert-Voss](https://md.research.elamur.ai/free/en/authors/ariel-herbert-voss/) - [Christopher A. Choquette-Choo](https://md.research.elamur.ai/free/en/authors/christopher-a-choquette-choo/) - [Colin Raffel](https://md.research.elamur.ai/free/en/authors/colin-raffel/) - [Daphne Ippolito](https://md.research.elamur.ai/free/en/authors/daphne-ippolito/) - [Dawn Song](https://md.research.elamur.ai/free/en/authors/dawn-song/) - [Milad Nasr](https://md.research.elamur.ai/free/en/authors/milad-nasr/) - [Ulfar Erlingsson](https://md.research.elamur.ai/free/en/authors/ulfar-erlingsson/) ## Cited by Papers of our library cite their works 1 692 times (of the 140 884 papers whose bibliographies we read); [169 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/matthew-jagielski/cited-by/).