Monograph (forthcoming)
Tommi Buder-Gröndahl. The Syntax and Semantics of Translation. Contract under Oxford University Press.
Published papers
Tommi Buder-Gröndahl. In defence of mathematical content. Philosophical Psychology, 1–33, 2025, doi: 10.1080/09515089.2025.2530010.
Esko Lehtonen, Tommi Buder-Gröndahl, & Sina Nordhoff. Revealing the Influence of Semantic Similarity on Survey Responses: A Synthetic Data Generation Approach. IEEE Access 13: 40285–40301, 2025, doi: 10.1109/ACCESS.2025.3546565.
Tommi Buder-Gröndahl. What does Parameter-free Probing Really Uncover? In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 327-336, 2024, doi: 10.18653/v1/2024.acl-short.31.
Tommi Buder-Gröndahl. The ambiguity of BERTology: what do large language models represent? Synthese (203): 15, 2024. doi: 10.1007/s11229-023-04435-5.
Tommi Gröndahl and N. Asokan. Effective Writing Style Transfer via Combinatorial Paraphrasing. In Proceedings of Privacy-enhancing Technologies, pp. 175–195, 2020, doi: 10.2478/popets-2020-0068.
Mika Juuti, Tommi Gröndahl, Adrian Flanagan and N. Asokan. A Little Goes a Long Way: Improving Toxic Language Classification Despite Data Scarcity. In Findings of the Association for Computational Linguistics: EMNLP 2020, pp. 2991–3009, 2020, doi: 10.18653/v1/2020.findings-emnlp.269.
Tommi Gröndahl and N. Asokan. Text Analysis in Adversarial Settings: Does Deception Leave a Stylistic Trace? ACM Computing Surveys 2(3): 1–36, 2019, doi: 10.1145/3310331.
Tommi Gröndahl, Luca Pajola, Mika Juuti, Mauro Conti, and N. Asokan. All You Need is “Love”: Evading Hate Speech Detection. AISec ’18: Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security: 2–12, 2018, doi: 10.1145/3270101.3270103.
Andrew Paverd, Sandeep Tamrakar, Hoang Long Nguyen, Praveen Kumar Pendyala, Thien Duc Nguyen, Elizabeth Stobert, Tommi Gröndahl, N. Asokan, and Ahmad-Reza Sadeghi. OmniShare: Encrypted Cloud Storage for the Multi-Device Era. IEEE Internet Computing 22(4): 27-36, 2018.
Samuel Marchal, Giovanni Armano, Tommi Gröndahl, Kalle Saari, Nidhi Singh, and N. Asokan. Off-the-Hook: An Efficient and Usable Client-Side Phishing Prevention Application. IEEE Transactions on Computers 66(10): 1717–1733, 2017, doi: 10.1109/TC.2017.2703808.
Anna-Mari Rusanen, Otto Lappi & Tommi Gröndahl. Käsitteen käsite (The concept of concept). In Ismo Koponen, Anna-Mari Rusanen, and Otto Lappi (eds.). Käsitteellinen Muutos ja sen Mallit (Conceptual Change and its Models): 26–38. Electronic
publication, University of Helsinki, 2014.
Conference posters/presentations
Tommi Buder-Gröndahl. The ambiguity of searching for linguistic representations in large language models. Poster at Mind and Matter: Conversations Across Disciplines, Helsinki, 7.6.2023.
Tommi Gröndahl. The DP-structure of the Finnish noun phrase. Presentation at the XII International Conference for Finno-Ugric Studies, Oulu, 19.8.2015.
Tommi Gröndahl. The functional head D as semantic definiteness: Evidence from Finnish. Presentation at the Manchester Forum in Linguistics, Manchester, 14.11.2014.
Academic theses
Tommi Buder-Gröndahl. Grammar, Concepts, and Interfaces Across Languages: The Syntax and Semantics of Translation. PhD thesis, Cognitive Science, University of Helsinki, 2023.
Tommi Gröndahl. Natural Language Processing in Adversarial Settings and Beyond: Benefits and Risks of Text Classification, Transformation, and Representation. DSc thesis, Computer Science, Aalto University, 2021.
Tommi Gröndahl. Määräisyys funktionaalisena pääsanana suomen kielen nominilausekkeessa (Definiteness as a functional head in the Finnish noun phrase). MA thesis, Cognitive Science, University of Helsinki, 2016.
Tommi Gröndahl. Semantic Internalism. BA thesis, Cognitive Science, University of Helsinki, 2014.
Manuscripts/preprints
Sebastian Szyller, Vasisht Duddu, Tommi Buder-Gröndahl, N Asokan. Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Models. ArXiv preprint ArXiv:2104.12623, 2023.
Tommi Gröndahl, Yujia Guo, and N. Asokan. Do Transformers know symbolic rules, and would we know if they did? ArXiv preprint ArXiv:2203.00162, 2022.
Tommi Gröndahl. EAT: a simple and versatile semantic representation format for multi-purpose NLP. ArXiv preprint ArXiv:1902.09381, 2021.
Tommi Buder-Gröndahl 