Tobaben, Marlon

12 publications

TMLR 2025 Empirical Comparison of Membership Inference Attacks in Deep Transfer Learning Yuxuan Bai, Gauri Pradhan, Marlon Tobaben, Antti Honkela

NeurIPS 2025 Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning Marlon Tobaben, Hibiki Ito, Joonas Jälkö, Yuan He, Antti Honkela

TMLR 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 Llados, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas

NeurIPSW 2024 Differentially Private Continual Learning Using Pre-Trained Models Marlon Tobaben, Marcus Klasson, Rui Li, Arno Solin, Antti Honkela

NeurIPS 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

ICMLW 2024 Towards Efficient and Scalable Training of Differentially Private Deep Learning Sebastian Rodriguez Beltran, Marlon Tobaben, Niki Andreas Loppi, Antti Honkela

ICLRW 2024 Understanding Practical Membership Privacy of Deep Learning Marlon Tobaben, Gauri Pradhan, Yuan He, Joonas Jälkö, Antti Honkela

ICLRW 2023 Differentially Private Federated Few-Shot Image Classification Aliaksandra Shysheya, Marlon Tobaben, John F Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella-Beguelin, Richard E Turner, Antti Honkela

ICLR 2023 Individual Privacy Accounting with Gaussian Differential Privacy Antti Koskela, Marlon Tobaben, Antti Honkela

TMLR 2023 On the Efficacy of Differentially Private Few-Shot Image Classification Marlon Tobaben, Aliaksandra Shysheya, John F Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella-Beguelin, Richard E Turner, Antti Honkela

ICLRW 2023 On the Efficacy of Differentially Private Few-Shot Image Classification Marlon Tobaben, Aliaksandra Shysheya, John F Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella-Beguelin, Richard E Turner, Antti Honkela

NeurIPSW 2022 Individual Privacy Accounting with Gaussian Differential Privacy Antti Koskela, Marlon Tobaben, Antti Honkela