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cs.LG2021
Reconstructing Training Data from Diverse ML Models by Ensemble Inversion
Qian Wang, Daniel Kurz
Model Inversion (MI), in which an adversary abuses access to a trained Machine Learning (ML) model attempting to infer sensitive information about its original training data, has a…
cs.LG2020★ 10 cited
Collaborative Fairness in Federated Learning
Lingjuan Lyu, Xinyi Xu, Qian Wang
In current deep learning paradigms, local training or the Standalone framework tends to result in overfitting and thus poor generalizability. This problem can be addressed by Distr…