| 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 | 1733 | 2021 |
| Taxonomy of risks posed by language models L Weidinger, J Uesato, M Rauh, C Griffin, PS Huang, J Mellor, A Glaese, ... Proceedings of the 2022 ACM conference on fairness, accountability, and …, 2022 | 1086 | 2022 |
| Extracting training data from diffusion models N Carlini, J Hayes, M Nasr, M Jagielski, V Sehwag, F Tramer, B Balle, ... 32nd USENIX security symposium (USENIX Security 23), 5253-5270, 2023 | 1048 | 2023 |
| Improving the gaussian mechanism for differential privacy: Analytical calibration and optimal denoising B Balle, YX Wang International conference on machine learning, 394-403, 2018 | 643 | 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 | 544 | 2018 |
| Subsampled rényi differential privacy and analytical moments accountant YX Wang, B Balle, SP Kasiviswanathan The 22nd international conference on artificial intelligence and statistics …, 2019 | 542 | 2019 |
| 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 | 469 | 2020 |
| 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 | 418* | 2016 |
| The privacy blanket of the shuffle model B Balle, J Bell, A Gascón, K Nissim Annual International Cryptology Conference, 638-667, 2019 | 359 | 2019 |
| 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 | 294 | 2022 |
| Reconstructing training data with informed adversaries B Balle, G Cherubin, J Hayes 2022 IEEE Symposium on Security and Privacy (SP), 1138-1156, 2022 | 243 | 2022 |
| 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 | 220 | 2020 |
| Scalable watermarking for identifying large language model outputs S Dathathri, A See, S Ghaisas, PS Huang, R McAdam, J Welbl, V Bachani, ... Nature 634 (8035), 818-823, 2024 | 204 | 2024 |
| 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 | 162 | 2020 |
| Tight auditing of differentially private machine learning M Nasr, J Hayes, T Steinke, B Balle, F Tramèr, M Jagielski, N Carlini, ... 32nd USENIX Security Symposium (USENIX Security 23), 1631-1648, 2023 | 147 | 2023 |
| The ethics of advanced ai assistants I Gabriel, A Manzini, G Keeling, LA Hendricks, V Rieser, H Iqbal, ... arXiv preprint arXiv:2404.16244, 2024 | 145 | 2024 |
| 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 | 140 | 2020 |
| Spectral learning of weighted automata: A forward-backward perspective B Balle, X Carreras, FM Luque, A Quattoni Machine learning 96 (1), 33-63, 2014 | 108 | 2014 |
| Continual learning in practice T Diethe, T Borchert, E Thereska, B Balle, N Lawrence arXiv preprint arXiv:1903.05202, 2019 | 107 | 2019 |
| 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 | 106 | 2020 |
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