28 citations · 30 across the 3 of their papers we have counts for
3 papers
cs.LG2022
Backdoor Cleansing with Unlabeled Data
Lu Pang, Tao Sun, Haibin Ling +1
Due to the increasing computational demand of Deep Neural Networks (DNNs), companies and organizations have begun to outsource the training process. However, the externally trained…
cs.LG2021★ 28 cited
Federated Learning with Domain Generalization
Liling Zhang, Xinyu Lei, Yichun Shi +2
Federated Learning (FL) enables a group of clients to jointly train a machine learning model with the help of a centralized server. Clients do not need to submit their local data t…
cs.CV2019★ 2 cited
SSAH: Semi-supervised Adversarial Deep Hashing with Self-paced Hard Sample Generation
Sheng Jin, Shangchen Zhou, Yao Liu +4
Deep hashing methods have been proved to be effective and efficient for large-scale Web media search. The success of these data-driven methods largely depends on collecting suffici…