Marlon Tobaben

19 papers A* 2Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Empirical Comparison of Membership Inference Attacks in Deep Transfer Learning. CoRR Yuxuan Bai, Gauri Pradhan, Marlon Tobaben, Antti Honkela
2025	J	`jnl`	Empirical Comparison of Membership Inference Attacks in Deep Transfer Learning. Trans. Mach. Learn. Res. Yuxuan Bai, Gauri Pradhan, Marlon Tobaben, Antti Honkela
2025	—	`conf`	Hyperparameters in Score-Based Membership Inference Attacks. SaTML Gauri Pradhan, Joonas Jälkö, Marlon Tobaben, Antti Honkela
2025	J	`jnl`	Hyperparameters in Score-Based Membership Inference Attacks. CoRR Gauri Pradhan, Joonas Jälkö, Marlon Tobaben, Antti Honkela
2025	J	`jnl`	NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA. Trans. Mach. Learn. Res. 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
2024	J	`jnl`	Differentially Private Continual Learning using Pre-Trained Models. CoRR Marlon Tobaben, Marcus Klasson, Rui Li, Arno Solin, Antti Honkela
2024	J	`jnl`	NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA. CoRR 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
2024	A*	`conf`	Noise-Aware Differentially Private Regression via Meta-Learning. NeurIPS Ossi Räisä, Stratis Markou, Matthew Ashman, Wessel P. Bruinsma, Marlon Tobaben, Antti Honkela, Richard E. Turner
2024	J	`jnl`	Noise-Aware Differentially Private Regression via Meta-Learning. CoRR Ossi Räisä, Stratis Markou, Matthew Ashman, Wessel P. Bruinsma, Marlon Tobaben, Antti Honkela, Richard E. Turner
2024	—	`conf`	Privacy-Aware Document Visual Question Answering. ICDAR (6) 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
2024	J	`jnl`	Towards Efficient and Scalable Training of Differentially Private Deep Learning. CoRR Sebastian Rodriguez Beltran, Marlon Tobaben, Niki Andreas Lopi, Antti Honkela
2024	J	`jnl`	Understanding Practical Membership Privacy of Deep Learning. CoRR Marlon Tobaben, Gauri Pradhan, Yuan He, Joonas Jälkö, Antti Honkela
2023	A*	`conf`	Individual Privacy Accounting with Gaussian Differential Privacy. ICLR Antti Koskela, Marlon Tobaben, Antti Honkela
2023	J	`jnl`	On the Efficacy of Differentially Private Few-shot Image Classification. CoRR Marlon Tobaben, Aliaksandra Shysheya, John Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella-Béguelin, Richard E. Turner, Antti Honkela
2023	J	`jnl`	On the Efficacy of Differentially Private Few-shot Image Classification. Trans. Mach. Learn. Res. Marlon Tobaben, Aliaksandra Shysheya, John Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella-Béguelin, Richard E. Turner, Antti Honkela
2023	J	`jnl`	Privacy-Aware Document Visual Question Answering. CoRR Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas
2023	J	`jnl`	PyVBMC: Efficient Bayesian inference in Python. CoRR Bobby Huggins, Chengkun Li, Marlon Tobaben, Mikko J. Aarnos, Luigi Acerbi
2023	J	`jnl`	PyVBMC: Efficient Bayesian inference in Python. J. Open Source Softw. Bobby Huggins, Chengkun Li, Marlon Tobaben, Mikko J. Aarnos, Luigi Acerbi
2022	J	`jnl`	Individual Privacy Accounting with Gaussian Differential Privacy. CoRR Antti Koskela, Marlon Tobaben, Antti Honkela