14 citations · 21 across the 26 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CR2023
StegGuard: Fingerprinting Self-supervised Pre-trained Encoders via Secrets Embeder and Extractor
Xingdong Ren, Tianxing Zhang, Hanzhou Wu +3
In this work, we propose StegGuard, a novel fingerprinting mechanism to verify the ownership of the suspect pre-trained encoder using steganography. A critical perspective in StegG…
cs.LG2023
UPFL: Unsupervised Personalized Federated Learning towards New Clients
Tiandi Ye, Cen Chen, Yinggui Wang +2
Personalized federated learning has gained significant attention as a promising approach to address the challenge of data heterogeneity. In this paper, we address a relatively unex…
cs.CR2023★ 14 cited
You Can Backdoor Personalized Federated Learning
Tiandi Ye, Cen Chen, Yinggui Wang +2
Existing research primarily focuses on backdoor attacks and defenses within the generic federated learning scenario, where all clients collaborate to train a single global model. A…