3 citations · 4 across the 4 of their papers we have counts for
4 papers
FedMeS: Personalized Federated Continual Learning Leveraging Local Memory
Jin Xie, Chenqing Zhu, Songze Li
We focus on the problem of Personalized Federated Continual Learning (PFCL): a group of distributed clients, each with a sequence of local tasks on arbitrary data distributions, co…
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning
Yanbo Dai, Songze Li
In a federated learning (FL) system, distributed clients upload their local models to a central server to aggregate into a global model. Malicious clients may plant backdoors into…
Scene Style Text Editing
Tonghua Su, Fuxiang Yang, Xiang Zhou +3
In this work, we propose a task called "Scene Style Text Editing (SSTE)", changing the text content as well as the text style of the source image while keeping the original text sc…
Boosting Cross-task Transferability of Adversarial Patches with Visual Relations
Tony Ma, Songze Li, Yisong Xiao +1
The transferability of adversarial examples is a crucial aspect of evaluating the robustness of deep learning systems, particularly in black-box scenarios. Although several methods…