Jiachen T. Wang
Jiachen T. Wang
Otros nombresTianhao Wang
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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
Attacks on digital watermarks for deep neural networks
T Wang, F Kerschbaum
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks
T Wang, F Kerschbaum
WWW 2021, 2019
Improving robustness to model inversion attacks via mutual information regularization
T Wang, Y Zhang, R Jia
AAAI 2021, 2020
A unified framework for task-driven data quality management
T Wang, Y Zeng, M Jin, R Jia
arXiv preprint arXiv:2106.05484, 2021
Improving Cooperative Game Theory-based Data Valuation via Data Utility Learning
T Wang, Y Yang, R Jia
arXiv preprint arXiv:2107.06336, 2021
One-round active learning
T Wang, S Chen, R Jia
arXiv preprint arXiv:2104.11843, 2021
Concurrent composition of differential privacy
S Vadhan, T Wang
Theory of Cryptography: 19th International Conference, TCC 2021, Raleigh, NC …, 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
Learning Interpretable Fair Representations
T Wang, Z Buçinca, Z Ma
Technical Report, 2020
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
JT Wang, R Jia
arXiv preprint arXiv:2205.15466, 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
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
Zero-Round Active Learning
S Chen, T Wang, R Jia
arXiv preprint arXiv:2107.06703, 2021
A Note on" Towards Efficient Data Valuation Based on the Shapley Value''
JT Wang, R Jia
arXiv preprint arXiv:2302.11431, 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
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
Property Inference Attacks on Neural Networks using Dimension Reduction Representations
T Wang
Technical Report, 2019
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