期刊论文

Li, L

英文

Physical Communication

1874-4907

2025

72

102710

10.1016/j.phycom.2025.102710

CRediT authorship contribution statement Zhiying Feng: Writing – review & editing, Writing – original draft, Visualization, Supervision, Software, Resources, Methodology, Investigation, Formal analysis, Data curation, Conceptualization. Lang Li: acquisition. Yu Ou: Project administration. Lianrui Deng: Validation.

本校为第一且通讯机构

Deep learning-assisted template attack (DLATA) is a novel side-channel attack (SCA) method proposed by Lichao Wu at CHES2022. It utilizes a triplet network to assist template attacks (TA), avoiding the redundant training and hyperparameter tuning required in traditional DL-based SCA methods. However, the training of the triplet network requires a large number of power samples due to its unique structure. We propose a new optimization scheme, in which the transfer learning (TL) technology is used to train multiple models on several similar datasets with fewer power traces, to mitigation the pro...