Trust
04-03, 14:00–15:40 (CET), Diamond


Session Chair: Daniel A. Jiménez (TAMU and BSC)

TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing
Husheng Han (SKLP, Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences), Xinyao Zheng (SKLP, Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences ), Yuanbo Wen (SKLP, Institute of Computing Technology, Chinese Academy of Sciences), Yifan Hao (SKLP, Institute of Computing Technology, Chinese Academy of Sciences), Erhu Feng (IPADS, Shanghai Jiao Tong University,Engineering Research Center for Domain-specific Operating Systems (MoE)), Ling Liang (Peking university), Jianan Mu (SKLP, Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences ), Xiaqing Li (SKLP, Institute of Computing Technology, Chinese Academy of Sciences), Tianyun Ma (SKLP, Institute of Computing Technology, Chinese Academy of Sciences,Cambricon Technologies), Pengwei Jin (SKLP, Institute of Computing Technology, Chinese Academy of Sciences,University of Chinese Academy of Sciences ), Xinkai Song (SKLP, Institute of Computing Technology, Chinese Academy of Sciences), Zidong Du (SKLP, Institute of Computing Technology, Chinese Academy of Sciences,Shanghai Innovation Center for Processor Technologies, SHIC), Qi Guo (SKLP, Institute of Computing Technology, Chinese Academy of Sciences), Xing Hu (SKLP, Institute of Computing Technology, Chinese Academy of Sciences,ZGC LAB)
Paper

MDPeek: Breaking Balanced Branches in SGX with Memory Disambiguation Unit Side Channels
Chang Liu (Tsinghua University), Shuaihu Feng (Zhongguancun Laboratory), Yuan Li (Zhongguancun Laboratory), Dongsheng Wang (Tsinghua University), Wenjian He (Huawei Technologies Co., Ltd.), Yongqiang Lyu (Tsinghua University), Trevor E. Carlson (National University of Singapore)
Paper

Accelerating Number Theoretic Transform with Multi-GPU Systems for Efficient Zero Knowledge Proof
Zhuoran Ji (School of Cyber Science and Technology, Shandong University), Jianyu Zhao (School of Cyber Science and Technology, Shandong University), Peimin Gao (School of Cyber Science and Technology, Shandong University), Xiangkai Yin (School of Cyber Science and Technology, Shandong University), Lei Ju (Quan Cheng Laboratory)
Paper

BatchZK: A Fully Pipelined GPU-Accelerated System for Batch Generation of Zero-Knowledge Proofs
Tao Lu (Zhejiang University,National University of Singapore), Yuxun Chen (Zhejiang University), Zonghui Wang (Zhejiang University), Xiaohang Wang (Zhejiang University), Wenzhi Chen (Zhejiang University), Jiaheng Zhang (National University of Singapore)
Paper

UniZK: Accelerating Zero-Knowledge Proof with Unified Hardware and Flexible Kernel Mapping
Cheng Wang (Xi'an Jiaotong University,Institute for Interdisciplinary Information Core Technology), Mingyu Gao (Tsinghua University,Shanghai Qi Zhi Institute)
Paper