Marlon Tobaben

According to our database, Marlon Tobaben authored at least 11 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Kevin Kuo, Virginia Smith, Yusuke Yamasaki, Takumi Fukami, Kenta Niwa, Iifan Tyou, Hiro Ishii, Rio Yokota, Ragul N, Rintu Kutum, Josep Lladós, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas

Trans. Mach. Learn. Res., 2025

Hyperparameters in Score-Based Membership Inference Attacks.

Gauri Pradhan, Joonas Jälkö, Marlon Tobaben, Antti Honkela

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2025

2024

Differentially Private Continual Learning using Pre-Trained Models.

Marlon Tobaben, Marcus Klasson, Rui Li, Arno Solin, 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

Understanding Practical Membership Privacy of Deep Learning.

Marlon Tobaben, Gauri Pradhan, Yuan He, Joonas Jälkö, Antti Honkela

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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, Mario Fritz, Dimosthenis Karatzas

Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

2023

PyVBMC: Efficient Bayesian inference in Python.

Bobby Huggins, Chengkun Li, Marlon Tobaben, Mikko J. Aarnos, Luigi Acerbi

J. Open Source Softw., July, 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

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

Individual Privacy Accounting with Gaussian Differential Privacy.

Antti Koskela, Marlon Tobaben, Antti Honkela

Proceedings of the Eleventh International Conference on Learning Representations, 2023