---
title: "Mark Russinovich · Microsoft — author profile and papers"
description: "Mark Russinovich, Microsoft: 2 papers on Elamur Research (2023–2024), h-index 18 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/mark-russinovich/"
---
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# Mark Russinovich

Mark Russinovich has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Ronen Eldan](https://md.research.elamur.ai/free/en/authors/ronen-eldan/), [Ahmed Salem](https://md.research.elamur.ai/free/en/authors/ahmed-salem/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5072995225) · [ORCID](https://orcid.org/0009-0009-8306-0933) · [**h-index 18**](https://openalex.org/authors/A5072995225) · [85 works](https://openalex.org/works?filter=author.id:A5072995225) · [2,371 citations](https://openalex.org/works?filter=author.id:A5072995225&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/mark-russinovich/#papers) · [🔗 Cited 165 times in our library](https://md.research.elamur.ai/free/en/authors/mark-russinovich/cited-by/) · [⭐ Paper Stars ranking: #6621](https://md.research.elamur.ai/free/en/paper-stars/page/67/#star-6621)

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=Mark+Russinovich) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mark+Russinovich) · [dblp](https://dblp.org/search?q=Mark+Russinovich) · [ACL Anthology](https://aclanthology.org/search/?q=Mark+Russinovich)

## Affiliations

[🏢**Microsoft** Redmond · United States 2015–2026 · 24 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**University of Oregon** Eugene · United States 1996–2007 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-of-oregon/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 1994 · 2 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/)

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.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/mark-russinovich/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/mark-russinovich/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Who's Harry Potter? Approximate Unlearning in LLMs](https://md.research.elamur.ai/free/en/papers/eldan-2023-who-s-harry-potter-approximate/)** *(2023 · 115 citations)* LLMs absorb copyrighted and other problematic material during pretraining, and retraining from scratch to remove it is prohibitively expensive.
2. **[Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack](https://md.research.elamur.ai/free/en/papers/russinovich-2024-great-now-write-article-about/)** *(2024 · 71 citations)* Safety-aligned LLMs are usually tested against single-turn jailbreaks. Those attacks tend to contain recognizable malicious text that input filters can block once the attack becomes known. The authors present Crescendo, a black-box attack that spreads the jailbreak across a conversation. It opens with a harmless…

## Co-authors here

2 co-authors with a page, the most papers together first.

- [Ronen Eldan](https://md.research.elamur.ai/free/en/authors/ronen-eldan/) ×2
- [Ahmed Salem](https://md.research.elamur.ai/free/en/authors/ahmed-salem/)

## Cited by

Papers of our library cite their works 165 times (of the 149,439 papers whose bibliographies we read); [43 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/mark-russinovich/cited-by/).

Updated 2 November 2026
