| Principled evaluation of differentially private algorithms using dpbench M Hay, A Machanavajjhala, G Miklau, Y Chen, D Zhang Proceedings of the 2016 International Conference on Management of Data, 139-154, 2016 | 177 | 2016 |
| Sato: Contextual semantic type detection in tables D Zhang, Y Suhara, J Li, M Hulsebos, Ç Demiralp, WC Tan arXiv preprint arXiv:1911.06311, 2019 | 123 | 2019 |
| Annotating columns with pre-trained language models Y Suhara, J Li, Y Li, D Zhang, Ç Demiralp, C Chen, WC Tan Proceedings of the 2022 International Conference on Management of Data, 1493 …, 2022 | 74 | 2022 |
| Ektelo: A framework for defining differentially-private computations D Zhang, R McKenna, I Kotsogiannis, M Hay, A Machanavajjhala, ... Proceedings of the 2018 International Conference on Management of Data, 115-130, 2018 | 69 | 2018 |
| Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning G Fan, J Wang, Y Li, D Zhang, R Miller arXiv preprint arXiv:2210.01922, 2022 | 29 | 2022 |
| Exploring privacy-accuracy tradeoffs using dpcomp M Hay, A Machanavajjhala, G Miklau, Y Chen, D Zhang, G Bissias Proceedings of the 2016 International Conference on Management of Data, 2101 …, 2016 | 21 | 2016 |
| Investigating Visual Analysis of Differentially Private Data D Zhang, A Sarvghad, G Miklau IEEE Transactions on Visualization and Computer Graphics 27 (2), 1786-1796, 2020 | 12 | 2020 |
| Low-resource interactive active labeling for fine-tuning language models S Maekawa, D Zhang, H Kim, S Rahman, E Hruschka Findings of the Association for Computational Linguistics: EMNLP 2022, 3230-3242, 2022 | 9 | 2022 |
| Challenges of Visualizing Differentially Private Data D Zhang, M Hay, G Miklau, B O’Connor Theory and Practice of Differential Privacy 2016, 1-3, 2016 | 7 | 2016 |
| MEGAnno: Exploratory Labeling for NLP in Computational Notebooks D Zhang, H Kim, RL Chen, E Kandogan, E Hruschka arXiv preprint arXiv:2301.03095, 2023 | 3 | 2023 |
| Towards Transparent, Reusable, and Customizable Data Science in Computational Notebooks F Choi, S Rahman, H Kim, D Zhang Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing …, 2023 | 2 | 2023 |
| Towards Multifaceted Human-Centered AI S Rahman, H Kim, D Zhang, E Hruschka, E Kandogan arXiv preprint arXiv:2301.03656, 2023 | 2 | 2023 |
| On the Fairness of Quality-based Data Markets D Zhang, H Wang, X Ding, Y Zhang, J Li, H Gao arXiv preprint arXiv:1808.01624, 2018 | 2 | 2018 |
| Weedle: Composable Dashboard for Data-Centric NLP in Computational Notebooks N Kwon, H Kim, S Rahman, D Zhang, E Hruschka Companion Proceedings of the ACM Web Conference 2023, 132-135, 2023 | 1 | 2023 |
| εKTELO A Framework for Defining Differentially Private Computations D Zhang, R McKenna, I Kotsogiannis, G Bissias, M Hay, ... ACM Transactions on Database Systems (TODS) 45 (1), 1-44, 2020 | 1 | 2020 |
| # 8712; A Framework for Defining Differentially-Private Computations D Zhang, R McKenna, I Kotsogiannis, G Bissias, M Hay, ... ACM SIGMOD Record 48 (1), 15-22, 2019 | | 2019 |
| epsilon KTELO: A Framework for Defining Differentially-Private Computations D Zhang, R McKenna, I Kotsogiannis, G Bissias, M Hay, ... SIGMOD RECORD 48 (1), 15-22, 2019 | | 2019 |
| Principled Evaluation of Differentially Private Algorithms M Hay, A Machanavajjhala, G Miklau, Y Chen, D Zhang | | |
