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ORCIDMarlon Tobaben
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2020 – today
- 2025
[j4]Yuxuan Bai, Gauri Pradhan, Marlon Tobaben, Antti Honkela:
Empirical Comparison of Membership Inference Attacks in Deep Transfer Learning. Trans. Mach. Learn. Res. 2025 (2025)- [j3]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:
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA. Trans. Mach. Learn. Res. 2025 (2025) - [c4]Gauri Pradhan, Joonas Jälkö, Marlon Tobaben, Antti Honkela:
Hyperparameters in Score-Based Membership Inference Attacks. SaTML 2025: 362-384 - [i11]Gauri Pradhan
, Joonas Jälkö, Marlon Tobaben, Antti Honkela:
Hyperparameters in Score-Based Membership Inference Attacks. CoRR abs/2502.06374 (2025) - [i10]Yuxuan Bai, Gauri Pradhan, Marlon Tobaben, Antti Honkela:
Empirical Comparison of Membership Inference Attacks in Deep Transfer Learning. CoRR abs/2510.05753 (2025) - 2024
- [c3]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:
Privacy-Aware Document Visual Question Answering. ICDAR (6) 2024: 199-218 - [c2]Ossi Räisä, Stratis Markou, Matthew Ashman, Wessel P. Bruinsma, Marlon Tobaben, Antti Honkela, Richard E. Turner:
Noise-Aware Differentially Private Regression via Meta-Learning. NeurIPS 2024 - [i9]Marlon Tobaben, Gauri Pradhan, Yuan He, Joonas Jälkö, Antti Honkela:
Understanding Practical Membership Privacy of Deep Learning. CoRR abs/2402.06674 (2024) - [i8]Ossi Räisä, Stratis Markou, Matthew Ashman, Wessel P. Bruinsma, Marlon Tobaben, Antti Honkela, Richard E. Turner:
Noise-Aware Differentially Private Regression via Meta-Learning. CoRR abs/2406.08569 (2024) - [i7]Sebastian Rodriguez Beltran, Marlon Tobaben, Niki Andreas Lopi, Antti Honkela:
Towards Efficient and Scalable Training of Differentially Private Deep Learning. CoRR abs/2406.17298 (2024) - [i6]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:
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA. CoRR abs/2411.03730 (2024) - [i5]Marlon Tobaben, Marcus Klasson, Rui Li, Arno Solin, Antti Honkela:
Differentially Private Continual Learning using Pre-Trained Models. CoRR abs/2411.04680 (2024) - 2023
- [j2]Bobby Huggins, Chengkun Li, Marlon Tobaben, Mikko J. Aarnos, Luigi Acerbi:
PyVBMC: Efficient Bayesian inference in Python. J. Open Source Softw. 8(87): 5428 (2023) - [j1]Marlon Tobaben, Aliaksandra Shysheya, John Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella-Béguelin, Richard E. Turner, Antti Honkela:
On the Efficacy of Differentially Private Few-shot Image Classification. Trans. Mach. Learn. Res. 2023 (2023) - [c1]Antti Koskela, Marlon Tobaben, Antti Honkela:
Individual Privacy Accounting with Gaussian Differential Privacy. ICLR 2023 - [i4]Marlon Tobaben, Aliaksandra Shysheya, John Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella-Béguelin, Richard E. Turner, Antti Honkela:
On the Efficacy of Differentially Private Few-shot Image Classification. CoRR abs/2302.01190 (2023) - [i3]Bobby Huggins, Chengkun Li, Marlon Tobaben, Mikko J. Aarnos, Luigi Acerbi:
PyVBMC: Efficient Bayesian inference in Python. CoRR abs/2303.09519 (2023) - [i2]Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas:
Privacy-Aware Document Visual Question Answering. CoRR abs/2312.10108 (2023) - 2022
- [i1]Antti Koskela, Marlon Tobaben, Antti Honkela:
Individual Privacy Accounting with Gaussian Differential Privacy. CoRR abs/2209.15596 (2022)
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