--- title: "Mary Phuong · Google DeepMind — author profile and papers" description: "Mary Phuong, Google DeepMind: 2 papers on Elamur Research (2023–2024), h-index 8 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/mary-phuong/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/mary-phuong/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Mary Phuong # Mary Phuong Mary Phuong has 2 papers in our library, in 2023–2024, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Elliot Catt](https://md.research.elamur.ai/free/en/authors/elliot-catt/), [Matthew Aitchison](https://md.research.elamur.ai/free/en/authors/matthew-aitchison/), [Matthew Rahtz](https://md.research.elamur.ai/free/en/authors/matthew-rahtz/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5034739012) · [**h-index 8**](https://openalex.org/authors/A5034739012) · [15 works](https://openalex.org/works?filter=author.id:A5034739012) · [1,255 citations](https://openalex.org/works?filter=author.id:A5034739012&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/mary-phuong/#papers) · [🔗 Cited 2,319 times in our library](https://md.research.elamur.ai/free/en/authors/mary-phuong/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7625](https://md.research.elamur.ai/free/en/paper-stars/page/77/#star-7625) 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=Mary+Phuong) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mary+Phuong) · [dblp](https://dblp.org/search?q=Mary+Phuong) · [ACL Anthology](https://aclanthology.org/search/?q=Mary+Phuong) ## Affiliations [🏢**Google DeepMind** London · United Kingdom 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🏢**Google** London · United Kingdom 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/google-united-kingdom/) · [🎓**Institute of Science and Technology Austria** Klosterneuburg · Austria 2019–2023 · 5 papers](https://md.research.elamur.ai/free/en/universities/institute-of-science-and-technology-austria/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 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/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Engineering · 2 works](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Safety Research · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Safety, Risk, Reliability and Quality · 2 works](https://md.research.elamur.ai/free/en/shelves/engineering/safety-risk-reliability-and-quality/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 1 Research subjects and languages the work is about.[Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/mary-phuong/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/mary-phuong/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Model evaluation for extreme risks](https://md.research.elamur.ai/free/en/papers/shevlane-2023-model-evaluation-extreme-risks/)** *(2023 · 104 citations)* This position paper, from authors at Google DeepMind, OpenAI, Anthropic, GovAI and academic institutions, argues that general-purpose AI models may develop harmful abilities their creators never targeted. 2. **[Evaluating Frontier Models for Dangerous Capabilities](https://md.research.elamur.ai/free/en/papers/phuong-2024-evaluating-frontier-models-dangerous-capabilities/)** *(2024 · 36 citations)* Popular benchmarks measure broad skills such as coding or maths, and most safety tests check whether a model refuses harmful requests. ## All works 3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Distillation-Based Training for Multi-Exit Architectures ↗](https://doi.org/10.1109/iccv.2019.00144) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Mary Phuong, Christoph H. Lampert*2019 · 189 citations* 2. [**Model evaluation for extreme risks arXiv:2305.15324**Toby Shevlane, Sebastian Farquhar, Ben Garfinkel, et al.*2023 · 104 citations*](https://md.research.elamur.ai/free/en/papers/shevlane-2023-model-evaluation-extreme-risks/) 3. [**Evaluating Frontier Models for Dangerous Capabilities arXiv:2403.13793**Mary Phuong, Matthew Aitchison, Elliot Catt, et al.*2024 · 36 citations*](https://md.research.elamur.ai/free/en/papers/phuong-2024-evaluating-frontier-models-dangerous-capabilities/) ## Co-authors here 6 co-authors with a page, the most papers together first. - [Elliot Catt](https://md.research.elamur.ai/free/en/authors/elliot-catt/) - [Matthew Aitchison](https://md.research.elamur.ai/free/en/authors/matthew-aitchison/) - [Matthew Rahtz](https://md.research.elamur.ai/free/en/authors/matthew-rahtz/) - [Sebastian Farquhar](https://md.research.elamur.ai/free/en/authors/sebastian-farquhar/) - [Tom Lieberum](https://md.research.elamur.ai/free/en/authors/tom-lieberum/) - [Yannis Assael](https://md.research.elamur.ai/free/en/authors/yannis-assael/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - IEEE/CVF International Conference on Computer Vision (ICCV) ## Cited by Papers of our library cite their works 2,319 times (of the 149,439 papers whose bibliographies we read); [636 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/mary-phuong/cited-by/). Updated 3 November 2026