--- title: "Maksym Andriushchenko — author profile and papers in our library" description: "Maksym Andriushchenko, Max Planck Institute for Intelligent Systems: 3 papers on Elamur Research (2024), h-index 15 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/maksym-andriushchenko/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/maksym-andriushchenko/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Maksym Andriushchenko # Maksym Andriushchenko Maksym Andriushchenko has 3 papers in our library, in 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/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Francesco Croce](https://md.research.elamur.ai/free/en/authors/francesco-croce/), [Nicolas Flammarion](https://md.research.elamur.ai/free/en/authors/nicolas-flammarion/), [Alexander Robey](https://md.research.elamur.ai/free/en/authors/alexander-robey/). 3 papers in our library · 2024 [OpenAlex](https://openalex.org/A5057136518) · [**h-index 15**](https://openalex.org/authors/A5057136518) · [36 works](https://openalex.org/works?filter=author.id:A5057136518) · [2,340 citations](https://openalex.org/works?filter=author.id:A5057136518&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/maksym-andriushchenko/#papers) · [🔗 Cited 366 times in our library](https://md.research.elamur.ai/free/en/authors/maksym-andriushchenko/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4353](https://md.research.elamur.ai/free/en/paper-stars/page/44/#star-4353) 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=Maksym+Andriushchenko) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Maksym+Andriushchenko) · [dblp](https://dblp.org/search?q=Maksym+Andriushchenko) · [ACL Anthology](https://aclanthology.org/search/?q=Maksym+Andriushchenko) ## Affiliations [🔬**ELLIS Institute Tübingen** Tübingen · Germany 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/labs/ellis-institute-tubingen/) · [🔬**Max Planck Institute for Biology** Tübingen · Germany 2026 · 2 papers*current*](https://ror.org/0243gzr89) · [🔬**Max Planck Institute for Intelligent Systems** Stuttgart · Germany 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/labs/max-planck-institute-for-intelligent-systems/) · [🎓**Tübingen AI Center** Tübingen · Germany 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/tubingen-ai-center/) · [🎓**École Polytechnique Fédérale de Lausanne** Lausanne · Switzerland 2020–2025 · 17 papers](https://md.research.elamur.ai/free/en/universities/ecole-polytechnique-federale-de-lausanne/) · [🎓**Saarland University** Saarbrücken · Germany 2018–2019 · 2 papers](https://md.research.elamur.ai/free/en/universities/saarland-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 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) 🧭 Topics 3 Research subjects and languages the work is about.[Bias, fairness & safety · 2 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2024** 3 papers](https://md.research.elamur.ai/free/en/authors/maksym-andriushchenko/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models](https://md.research.elamur.ai/free/en/papers/chao-2024-jailbreakbench-open-robustness-benchmark-jailbreaking/)** *(2024 · 277 citations)* Research on jailbreaking LLMs has been hard to compare. Studies use different definitions of a successful attack and count costs and success rates differently. Many also keep their adversarial prompts private, release no code, or depend on proprietary APIs that change over time. JailbreakBench (NeurIPS 2024, Datasets… 2. **[Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks](https://md.research.elamur.ai/free/en/papers/andriushchenko-2024-jailbreaking-leading-safety-aligned-llms/)** *(2024 · 118 citations)* The paper asks whether today's safety-aligned LLMs can withstand jailbreaks that are tailored to each target model rather than applied uniformly. 3. **[Improving Alignment and Robustness with Circuit Breakers](https://md.research.elamur.ai/free/en/papers/zou-2024-improving-alignment-robustness-circuit-breakers/)** *(2024 · 83 citations)* Language models trained to refuse harmful requests can still be jailbroken. Adversarial training usually protects only against attacks seen during training, and it reduces capability. Zou et al. propose "circuit breakers," which change the model's internal representations instead of patching individual attack routes.… ## All works 4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem ↗](https://doi.org/10.1109/cvpr.2019.00013) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf*2019 · 438 citations* 2. **[JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models](https://md.research.elamur.ai/free/en/papers/chao-2024-jailbreakbench-open-robustness-benchmark-jailbreaking/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Patrick Chao, Edoardo Debenedetti, Alexander Robey, et al.*2024 · 277 citations* 3. [**Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks arXiv:2404.02151**Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion*2024 · 118 citations*](https://md.research.elamur.ai/free/en/papers/andriushchenko-2024-jailbreaking-leading-safety-aligned-llms/) 4. **[Improving Alignment and Robustness with Circuit Breakers](https://md.research.elamur.ai/free/en/papers/zou-2024-improving-alignment-robustness-circuit-breakers/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Andy Zou, Long Phan, Justin Wang, et al.*2024 · 83 citations* ## Co-authors here 12 of 13 co-authors with a page, the most papers together first. - [Francesco Croce](https://md.research.elamur.ai/free/en/authors/francesco-croce/) ×2 - [Nicolas Flammarion](https://md.research.elamur.ai/free/en/authors/nicolas-flammarion/) ×2 - [Alexander Robey](https://md.research.elamur.ai/free/en/authors/alexander-robey/) - [Andy Zou](https://md.research.elamur.ai/free/en/authors/andy-zou/) - [Dan Hendrycks](https://md.research.elamur.ai/free/en/authors/dan-hendrycks/) - [Edgar Dobriban](https://md.research.elamur.ai/free/en/authors/edgar-dobriban/) - [Eric Wong](https://md.research.elamur.ai/free/en/authors/eric-wong/) - [Florian Tramer](https://md.research.elamur.ai/free/en/authors/florian-tramer/) - [George J. Pappas](https://md.research.elamur.ai/free/en/authors/george-j-pappas/) - [Hamed Hassani](https://md.research.elamur.ai/free/en/authors/hamed-hassani/) - [Long Phan](https://md.research.elamur.ai/free/en/authors/long-phan/) - [Matt Fredrikson](https://md.research.elamur.ai/free/en/authors/matt-fredrikson/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) ×2: [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) ×2 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ## Cited by Papers of our library cite their works 366 times (of the 149,439 papers whose bibliographies we read); [80 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/maksym-andriushchenko/cited-by/). Updated 2 November 2026