9 citations · 9 across the 1 of their papers we have counts for
5 papers
Machine Unlearning in Large Language Models
Kongyang Chen, Zixin Wang, Bing Mi +4
Recently, large language models (LLMs) have emerged as a notable field, attracting significant attention for its ability to automatically generate intelligent contents for various…
EdgeLeakage: Membership Information Leakage in Distributed Edge Intelligence Systems
Kongyang Chen, Yi Lin, Hui Luo +4
In contemporary edge computing systems, decentralized edge nodes aggregate unprocessed data and facilitate data analytics to uphold low transmission latency and real-time data proc…
Membership Information Leakage in Federated Contrastive Learning
Kongyang Chen, Wenfeng Wang, Zixin Wang +3
Federated Contrastive Learning (FCL) represents a burgeoning approach for learning from decentralized unlabeled data while upholding data privacy. In FCL, participant clients colla…
BAGEL: Backdoor Attacks against Federated Contrastive Learning
Yao Huang, Kongyang Chen, Jiannong Cao +5
Federated Contrastive Learning (FCL) is an emerging privacy-preserving paradigm in distributed learning for unlabeled data. In FCL, distributed parties collaboratively learn a glob…
LIPS: A Light Intensity Based Positioning System For Indoor Environments
Bo Xie, Guang Tan, Yunhuai Liu +3
This paper presents LIPS, a Light Intensity based Positioning System for indoor environments. The system uses off-the-shelf LED lamps as signal sources, and uses light sensors as s…