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cs.CR2024
Fastrack: Fast IO for Secure ML using GPU TEEs
Yongqin Wang, Rachit Rajat, Jonghyun Lee +2
As cloud-based ML expands, ensuring data security during training and inference is critical. GPU-based Trusted Execution Environments (TEEs) offer secure, high-performance solution…
cs.CL2024★ 1 cited
Ethos: Rectifying Language Models in Orthogonal Parameter Space
Lei Gao, Yue Niu, Tingting Tang +2
Language models (LMs) have greatly propelled the research on natural language processing. However, LMs also raise concerns regarding the generation of biased or toxic content and t…
cs.LG2024★ 1 cited
Edge Private Graph Neural Networks with Singular Value Perturbation
Tingting Tang, Yue Niu, Salman Avestimehr +1
Graph neural networks (GNNs) play a key role in learning representations from graph-structured data and are demonstrated to be useful in many applications. However, the GNN trainin…