2 papers
cs.CR2026
High-Throughput and Scalable Secure Inference Protocols for Deep Learning with Packed Secret Sharing
Qinghui Zhang, Xiaojun Chen, Yansong Zhang +1
Most existing secure neural network inference protocols based on secure multi-party computation (MPC) typically support at most four participants, demonstrating severely limited sc…
cs.CR2025
Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity
Guang Yan, Yuhui Zhang, Zimu Guo +6
With the growing use of large language models (LLMs) hosted on cloud platforms to offer inference services, privacy concerns about the potential leakage of sensitive information ar…