| 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 | 76 | 2020 |
| Attacks on digital watermarks for deep neural networks T Wang, F Kerschbaum ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 60 | 2019 |
| RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks T Wang, F Kerschbaum WWW 2021, 2019 | 57* | 2019 |
| Improving robustness to model inversion attacks via mutual information regularization T Wang, Y Zhang, R Jia AAAI 2021, 2020 | 18 | 2020 |
| A unified framework for task-driven data quality management T Wang, Y Zeng, M Jin, R Jia arXiv preprint arXiv:2106.05484, 2021 | 10 | 2021 |
| Improving Cooperative Game Theory-based Data Valuation via Data Utility Learning T Wang, Y Yang, R Jia arXiv preprint arXiv:2107.06336, 2021 | 8* | 2021 |
| One-round active learning T Wang, S Chen, R Jia arXiv preprint arXiv:2104.11843, 2021 | 7 | 2021 |
| Concurrent composition of differential privacy S Vadhan, T Wang Theory of Cryptography: 19th International Conference, TCC 2021, Raleigh, NC …, 2021 | 7 | 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 arXiv preprint arXiv:2103.01496, 2021 | 4 | 2021 |
| Learning Interpretable Fair Representations T Wang, Z Buçinca, Z Ma Technical Report, 2020 | 4 | 2020 |
| Data Banzhaf: A Robust Data Valuation Framework for Machine Learning JT Wang, R Jia arXiv preprint arXiv:2205.15466, 2022 | 3* | 2022 |
| Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation T Wu, T Wang, V Sehwag, S Mahloujifar, P Mittal arXiv preprint arXiv:2207.10825, 2022 | 2 | 2022 |
| ModelPred: A Framework for Predicting Trained Model from Training Data Y Zeng, JT Wang, S Chen, HA Just, R Jin, R Jia arXiv preprint arXiv:2111.12545, 2021 | 1* | 2021 |
| Zero-Round Active Learning S Chen, T Wang, R Jia arXiv preprint arXiv:2107.06703, 2021 | 1 | 2021 |
| A Note on" Towards Efficient Data Valuation Based on the Shapley Value'' JT Wang, R Jia arXiv preprint arXiv:2302.11431, 2023 | | 2023 |
| Uncovering Adversarial Risks of Test-Time Adaptation T Wu, F Jia, X Qi, JT Wang, V Sehwag, S Mahloujifar, P Mittal arXiv preprint arXiv:2301.12576, 2023 | | 2023 |
| Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning JT Wang, S Mahloujifar, S Wang, R Jia, P Mittal arXiv preprint arXiv:2209.07716, 2022 | | 2022 |
| Property Inference Attacks on Neural Networks using Dimension Reduction Representations T Wang Technical Report, 2019 | | 2019 |
Ruoxi JiaAssistant Professor, Virginia TechDirección de correo verificada de vt.edu
