Individual Privacy Accounting with Gaussian Differential Privacy. - Antti Koskela; Marlon Tobaben; Antti Honkela (ICLR, 2023)

Privacy-Aware Document Visual Question Answering. - Rubèn Tito; Khanh Nguyen; Marlon Tobaben; Raouf Kerkouche; Mohamed Ali Souibgui; Kangsoo Jung; Lei Kang; Ernest Valveny; Antti Honkela; Mario Fritz; Dimosthenis Karatzas (CoRR, 2023)

On the Efficacy of Differentially Private Few-shot Image Classification. - Marlon Tobaben; Aliaksandra Shysheya; John Bronskill; Andrew Paverd; Shruti Tople; Santiago Zanella-Béguelin; Richard E. Turner; Antti Honkela (Trans. Mach. Learn. Res., 2023)

PyVBMC: Efficient Bayesian inference in Python. - Bobby Huggins; Chengkun Li; Marlon Tobaben; Mikko J. Aarnos; Luigi Acerbi (J. Open Source Softw., 2023)

Privacy-Aware Document Visual Question Answering. - Rubèn Tito; Khanh Nguyen; Marlon Tobaben; Raouf Kerkouche; Mohamed Ali Souibgui; Kangsoo Jung; Joonas Jälkö; Vincent Poulain D'Andecy; Aurélie Joseph; Lei Kang; Ernest Valveny; Antti Honkela; et al. (ICDAR (6), 2024)

Noise-Aware Differentially Private Regression via Meta-Learning. - Ossi Räisä; Stratis Markou; Matthew Ashman; Wessel P. Bruinsma; Marlon Tobaben; Antti Honkela; Richard E. Turner (NeurIPS, 2024)

Understanding Practical Membership Privacy of Deep Learning. - Marlon Tobaben; Gauri Pradhan; Yuan He; Joonas Jälkö; Antti Honkela (CoRR, 2024)

Towards Efficient and Scalable Training of Differentially Private Deep Learning. - Sebastian Rodriguez Beltran; Marlon Tobaben; Niki Andreas Lopi; Antti Honkela (CoRR, 2024)

Differentially Private Continual Learning using Pre-Trained Models. - Marlon Tobaben; Marcus Klasson; Rui Li 001; Arno Solin; Antti Honkela (CoRR, 2024)

Hyperparameters in Score-Based Membership Inference Attacks. - Gauri Pradhan; Joonas Jälkö; Marlon Tobaben; Antti Honkela (SaTML, 2025)

NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA. - Marlon Tobaben; Mohamed Ali Souibgui; Rubèn Tito; Khanh Nguyen; Raouf Kerkouche; Kangsoo Jung; Joonas Jälkö; Lei Kang; Andrey Barsky; Vincent Poulain D'Andecy; Aurélie Joseph; Aashiq Muhamed; et al. (Trans. Mach. Learn. Res., 2025)