| A principled approach to data valuation for federated learning T Wang, J Rausch, C Zhang, R Jia, D Song Federated Learning: Privacy and Incentive, 153-167, 2020 | 238 | 2020 |
| RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks T Wang, F Kerschbaum WWW 2021, 2019 | 154* | 2019 |
| Data Banzhaf: A Robust Data Valuation Framework for Machine Learning JT Wang, R Jia AISTATS 2023 Oral, 2023 | 130* | 2023 |
| Attacks on digital watermarks for deep neural networks T Wang, F Kerschbaum ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 111 | 2019 |
| Improving robustness to model inversion attacks via mutual information regularization T Wang, Y Zhang, R Jia AAAI 2021, 2020 | 86 | 2020 |
| Lava: Data valuation without pre-specified learning algorithms HA Just, F Kang, JT Wang, Y Zeng, M Ko, M Jin, R Jia ICLR 2023 Spotlight, 2023 | 64 | 2023 |
| Privacy-Preserving In-Context Learning for Large Language Models T Wu, A Panda, JT Wang, P Mittal ICLR 2024, 2023 | 50* | 2023 |
| Towards a proactive {ML} approach for detecting backdoor poison samples X Qi, T Xie, JT Wang, T Wu, S Mahloujifar, P Mittal 32nd USENIX Security Symposium (USENIX Security 23), 1685-1702, 2023 | 49 | 2023 |
| DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer J Hong, JT Wang, C Zhang, Z Li, B Li, Z Wang ICLR 2024 Spotlight, 2024 | 39* | 2024 |
| Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation T Wu, T Wang, V Sehwag, S Mahloujifar, P Mittal AISec 2022, 2022 | 29 | 2022 |
| Concurrent composition of differential privacy S Vadhan, T Wang Theory of Cryptography: 19th International Conference, TCC 2021, Raleigh, NC …, 2021 | 27 | 2021 |
| Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation JT Wang, Y Zhu, YX Wang, R Jia, P Mittal NeurIPS 2023 Spotlight, 2023 | 23* | 2023 |
| Improving cooperative game theory-based data valuation via data utility learning T Wang, Y Yang, R Jia arXiv preprint arXiv:2107.06336, 2021 | 19* | 2021 |
| Dplis: Boosting utility of differentially private deep learning via randomized smoothing W Wang, T Wang, L Wang, N Luo, P Zhou, D Song, R Jia PoPETs 2021, 2021 | 18 | 2021 |
| An economic solution to copyright challenges of generative ai JT Wang, Z Deng, H Chiba-Okabe, B Barak, WJ Su arXiv preprint arXiv:2404.13964, 2024 | 16 | 2024 |
| Towards General Robustness to Bad Training Data T Wang, Y Zeng, M Jin, R Jia | 14* | |
| Language Models as Science Tutors A Chevalier, J Geng, A Wettig, H Chen, S Mizera, T Annala, MJ Aragon, ... ICML 2024, 2024 | 13 | 2024 |
| A Note on" Towards Efficient Data Valuation Based on the Shapley Value'' JT Wang, R Jia arXiv preprint arXiv:2302.11431, 2023 | 12 | 2023 |
| Uncovering Adversarial Risks of Test-Time Adaptation T Wu, F Jia, X Qi, JT Wang, V Sehwag, S Mahloujifar, P Mittal ICML 2023 Poster, 2023 | 11 | 2023 |
| A Randomized Approach for Tight Privacy Accounting JT Wang, S Mahloujifar, T Wu, R Jia, P Mittal NeurIPS 2023 Poster, 2023 | 10 | 2023 |
Ruoxi JiaAssistant Professor, Virginia TechВерификована је имејл адреса на vt.edu
