Borja Balle
Borja Balle
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Zitiert von
Zitiert von
Privacy-preserving distributed linear regression on high-dimensional data
A Gascón, P Schoppmann, B Balle, M Raykova, J Doerner, S Zahur, ...
Cryptology ePrint Archive, 2016
Subsampled rényi differential privacy and analytical moments accountant
YX Wang, B Balle, SP Kasiviswanathan
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Improving the gaussian mechanism for differential privacy: Analytical calibration and optimal denoising
B Balle, YX Wang
International Conference on Machine Learning, 394-403, 2018
Privacy amplification by subsampling: Tight analyses via couplings and divergences
B Balle, G Barthe, M Gaboardi
Advances in Neural Information Processing Systems 31, 2018
Model-agnostic counterfactual explanations for consequential decisions
AH Karimi, G Barthe, B Balle, I Valera
International Conference on Artificial Intelligence and Statistics, 895-905, 2020
The privacy blanket of the shuffle model
B Balle, J Bell, A Gascón, K Nissim
Advances in Cryptology–CRYPTO 2019: 39th Annual International Cryptology …, 2019
Ethical and social risks of harm from language models
L Weidinger, J Mellor, M Rauh, C Griffin, J Uesato, PS Huang, M Cheng, ...
arXiv preprint arXiv:2112.04359, 2021
Spectral learning of weighted automata: A forward-backward perspective
B Balle, X Carreras, FM Luque, A Quattoni
Machine learning 96, 33-63, 2014
Private summation in the multi-message shuffle model
B Balle, J Bell, A Gascón, K Nissim
Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications …, 2020
Taxonomy of risks posed by language models
L Weidinger, J Uesato, M Rauh, C Griffin, PS Huang, J Mellor, A Glaese, ...
2022 ACM Conference on Fairness, Accountability, and Transparency, 214-229, 2022
Spectral learning of general weighted automata via constrained matrix completion
B Balle, M Mohri
Advances in neural information processing systems 25, 2012
Continual learning in practice
T Diethe, T Borchert, E Thereska, B Balle, N Lawrence
arXiv preprint arXiv:1903.05202, 2019
Hypothesis testing interpretations and renyi differential privacy
B Balle, G Barthe, M Gaboardi, J Hsu, T Sato
International Conference on Artificial Intelligence and Statistics, 2496-2506, 2020
A spectral learning algorithm for finite state transducers
B Balle, A Quattoni, X Carreras
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011
Privacy-and utility-preserving textual analysis via calibrated multivariate perturbations
O Feyisetan, B Balle, T Drake, T Diethe
Proceedings of the 13th International Conference on Web Search and Data …, 2020
Learning weighted automata
B Balle, M Mohri
Algebraic Informatics: 6th International Conference, CAI 2015, Stuttgart …, 2015
Privacy amplification via random check-ins
B Balle, P Kairouz, B McMahan, O Thakkar, A Guha Thakurta
Advances in Neural Information Processing Systems 33, 4623-4634, 2020
Unlocking high-accuracy differentially private image classification through scale
S De, L Berrada, J Hayes, SL Smith, B Balle
arXiv preprint arXiv:2204.13650, 2022
Local loss optimization in operator models: A new insight into spectral learning
B Balle, A Quattoni, X Carreras
arXiv preprint arXiv:1206.6393, 2012
Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison
B Balle, WL Hamilton, J Pineau
ICML, 2014
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