2 papers
cs.CV2023
AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories
Jiyuan Shen, Wenzhuo Yang, Kwok-Yan Lam
Training large AI models typically requires large-scale datasets in the machine learning process, making training and parameter-tuning process both time-consuming and costly. Some…
cs.CR2020
MPC-enabled Privacy-Preserving Neural Network Training against Malicious Attack
Ziyao Liu, Ivan Tjuawinata, Chaoping Xing +1
The application of secure multiparty computation (MPC) in machine learning, especially privacy-preserving neural network training, has attracted tremendous attention from the resea…