Research output per year
Research output per year
Personal profile
Curriculum vitae
I am a doctoral researcher at the Department of Computer Science of the University of Helsinki and the research program 4 (R4) privacy-preserving and secure AI of the Finnish Center for Artificial Intelligence (FCAI). My supervisor is Professor Antti Honkela. I am affiliated with FCAI and Helsinki Institute for Information Technology (HIIT).
Education/Academic qualification
Data Science, M.Sc., Department of Computer Science
1 Aug 2020 → 28 Jun 2022
Award Date: 28 Jun 2022
Computer Science and Business Management, B.Sc., FH Nordakademie
1 Oct 2016 → 15 Mar 2020
Award Date: 15 Mar 2020
Fields of Science
- 113 Computer and information sciences
- 112 Statistics and probability
International and National Collaboration
Publications and projects within past five years.
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Noise-Aware Differentially Private Regression via Meta-Learning
Räisä, O. T., Markou, S., Ashman, M., Bruinsma, W., Tobaben, M., Honkela, A. & Turner, R. E., 12 Dec 2024, The Thirty-eighth Annual Conference on Neural Information Processing Systems.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access -
Privacy-Aware Document Visual Question Answering
Tito, R., Nguyen, K., Tobaben, M., Kerkouche, R., Souibgu, M. A., Jung, K., Jälkö, J., Poulain D’Andecy, V., Joseph, A., Kang, L., Valveny, E., Honkela, A., Fritz, M. & Karatzas, D., 11 Sept 2024, Document Analysis and Recognition - ICDAR 2024 : 18th International Conference, Athens, Greece, August 30–September 4, 2024, Proceedings, Part VI. Smith, E., Liwicki, M. & Peng, L. (eds.). 1 ed. Springer, Cham, p. 199-218 20 p. (Lecture Notes in Computer Science; vol. 14809).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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Individual Privacy Accounting with Gaussian Differential Privacy
Koskela, A., Tobaben, M. & Honkela, A., 2023. 25 p.Research output: Conference materials › Poster › peer-review
Open AccessFile -
On the Efficacy of Differentially Private Few-shot Image Classification
Tobaben, M., Shysheya, A., Bronskill, J., Paverd, A., Tople, S., Zanella-Beguelin, S., Turner, R. E. & Honkela, A., 19 Dec 2023, In: Transactions on machine learning research. 2023, 49 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
PyVBMC: Efficient Bayesian inference in Python
Huggins, B., Li, C., Tobaben, M., Aarnos, M. J. & Acerbi, L., 21 Jun 2023, In: Journal of open source software. 8, 86Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile
Projects
- 1 Active
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FCAI: Suomen tekoälykeskus
Myllymäki, P. (Project manager), Al-Tahmeesschi, A. A. J. (Participant), Byggmästar, J. (Participant), Chang, P. (Participant), Clarté, G. C. (Participant), Daubaris, P. (Participant), Erarslan, A. U. (Participant), Gharib, S. (Participant), Jamshidi, A. (Participant), Jääsaari, E. (Participant), Kokko, J. E. (Participant), Kotkov, D. (Participant), Luu, H. P. H. (Participant), Ma, J. (Participant), Mikkola, P. (Participant), Remes, U. (Participant), Tobaben, M. (Participant), Viippola, E. H. (Participant), Xu, Y. (Participant), Zhang, S. (Participant), Zhao, L. (Participant) & Zhou, C. (Participant)
Suomen Akatemia Projektilaskutus
01/09/2022 → 31/12/2026
Project: Research Council of Finland: Finnish Flagship Programme