transport: Computation of optimal transport plans and Wasserstein distances D Schuhmacher, B Bähre, C Gottschlich, V Hartmann, F Heinemann, ... R package version 0.12–2, 2020 | 59 | 2020 |
Sok: Memorization in general-purpose large language models V Hartmann, A Suri, V Bindschaedler, D Evans, S Tople, R West arXiv preprint arXiv:2310.18362, 2023 | 37 | 2023 |
Semi-discrete optimal transport: a solution procedure for the unsquared Euclidean distance case V Hartmann, D Schuhmacher Mathematical Methods of Operations Research 92 (1), 133-163, 2020 | 28 | 2020 |
Privacy-preserving classification with secret vector machines V Hartmann, K Modi, JM Pujol, R West Proceedings of the 29th ACM International Conference on Information …, 2020 | 26 | 2020 |
Distribution inference risks: Identifying and mitigating sources of leakage V Hartmann, L Meynent, M Peyrard, D Dimitriadis, S Tople, R West 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 136-149, 2023 | 18 | 2023 |
transport: Computation of Optimal Transport Plans and Wasserstein Distances, r package version 0.11-1 D Schuhmacher, B Bähre, C Gottschlich, V Hartmann, F Heinemann, ... | 14 | 2019 |
Privacy-preserving distributed learning with secret gradient descent V Hartmann, R West arXiv preprint arXiv:1906.11993, 2019 | 14 | 2019 |
Neural Redshift: Random Networks are not Random Functions D Teney, AM Nicolicioiu, V Hartmann, E Abbasnejad Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 10 | 2024 |
Semi-discrete optimal transport-the case p= 1 V Hartmann, D Schuhmacher arXiv preprint arXiv:1706.07650, 2017 | 10 | 2017 |
Package ‘transport’ D Schuhmacher, B Bähre, N Bonneel, C Gottschlich, V Hartmann, ... R package version 1 (4), 2024 | 5 | 2024 |
A geometry-based approach for solving the transportation problem with Euclidean cost V Hartmann arXiv preprint arXiv:1706.07403, 2017 | 4 | 2017 |
Language Model Decoding as Likelihood-Utility Alignment M Josifoski, M Peyrard, F Rajic, J Wei, D Paul, V Hartmann, B Patra, ... arXiv preprint arXiv:2210.07228, 2022 | 2 | 2022 |
DiPPS: Differentially Private Propensity Scores for Bias Correction L Chen, V Hartmann, R West Proceedings of the International AAAI Conference on Web and Social Media 17 …, 2023 | 1 | 2023 |
Privacy accounting conomics: Improving differential privacy composition via a posteriori bounds V Hartmann, V Bindschaedler, A Bentkamp, R West arXiv preprint arXiv:2205.03470, 2022 | 1 | 2022 |
Secure Summation via Subset Sums: A New Primitive for Privacy-Preserving Distributed Machine Learning V Hartmann, R West arXiv preprint arXiv:1906.11993, 2019 | 1 | 2019 |
On the Choice of Databases in Differential Privacy Composition V Hartmann, V Bindschaedler, R West arXiv preprint arXiv:2209.13697, 2022 | | 2022 |