10 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
Training Data Attribution: Was Your Model Secretly Trained On Data Created By Mine?
Likun Zhang, Hao Wu, Lingcui Zhang +4
The emergence of text-to-image models has recently sparked significant interest, but the attendant is a looming shadow of potential infringement by violating the user terms. Specif…
cs.LG2024
CoAst: Validation-Free Contribution Assessment for Federated Learning based on Cross-Round Valuation
Hao Wu, Likun Zhang, Shucheng Li +2
In the federated learning (FL) process, since the data held by each participant is different, it is necessary to figure out which participant has a higher contribution to the model…
cs.LG2020★ 10 cited
Input Perturbation: A New Paradigm between Central and Local Differential Privacy
Yilin Kang, Yong Liu, Ben Niu +3
Traditionally, there are two models on differential privacy: the central model and the local model. The central model focuses on the machine learning model and the local model focu…