| Biased programmers? Or biased data? A field experiment in operationalizing AI ethics B Cowgill, F Dell'Acqua, S Deng, D Hsu, N Verma, A Chaintreau Proceedings of the 21st ACM Conference on Economics and Computation, 679-681, 2020 | 129 | 2020 |
| Is private learning possible with instance encoding? N Carlini, S Deng, S Garg, S Jha, S Mahloujifar, M Mahmoody, A Thakurta, ... 2021 IEEE Symposium on Security and Privacy (SP), 410-427, 2021 | 91 | 2021 |
| Ensuring fairness beyond the training data D Mandal, S Deng, S Jana, J Wing, DJ Hsu Advances in neural information processing systems 33, 18445-18456, 2020 | 64 | 2020 |
| Learning tensor representations for meta-learning S Deng, Y Guo, D Hsu, D Mandal International Conference on Artificial Intelligence and Statistics, 11550-11580, 2022 | 3 | 2022 |
| A separation result between data-oblivious and data-aware poisoning attacks S Deng, S Garg, S Jha, S Mahloujifar, M Mahmoody, A Guha Thakurta Advances in Neural Information Processing Systems 34, 10862-10875, 2021 | 3 | 2021 |
| Methodological blind spots in machine learning fairness: Lessons from the philosophy of science and computer science S Deng, A Varzi arXiv preprint arXiv:1910.14210, 2019 | 3 | 2019 |
| Multi-group Learning for Hierarchical Groups S Deng, D Hsu arXiv preprint arXiv:2402.00258, 2024 | 1 | 2024 |
| Group-wise oracle-efficient algorithms for online multi-group learning S Deng, D Hsu, J Liu arXiv preprint arXiv:2406.05287, 2024 | | 2024 |
| Group conditional validity via multi-group learning S Deng, N Ardeshir, D Hsu arXiv preprint arXiv:2303.03995, 2023 | | 2023 |
| On the Power of Oblivious Poisoning Attacks S Deng, S Garg, S Jha, S Mahloujifar, M Mahmoody, A Thakurta | | |
