@inproceedings{695dcc3e96304c3b8b79b705c4e6d926,
title = "A Review on Palmprint Image-Level Attacks",
abstract = "With the popularization of biometric recognition technology, palmprint recognition has attracted widespread attention because of its high uniqueness and non-replicability. However, recent studies have shown that various image-level attacks on palmprint recognition systems can interfere with the decision-making process of the model, leading to a decline in both the accuracy and security of the system. In this paper, we first summarize the applications of palmprint recognition technology and then describe two main types of image-level attacks: adversarial attacks and reconstruction attacks. Finally, we summarize existing works on image-level attacks targeting palmprint recognition, highlighting key methods and strategies.",
keywords = "Adversarial Attack, Palmprint Recognition, Reconstruction Attack, Security",
author = "Qiuli Zhang and Kaihua Zheng and Jinhui Xu and Yong Xu and Jinrong Cui",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.; 19th Chinese Conference on Biometric Recognition, CCBR 2025 ; Conference date: 21-11-2025 Through 23-11-2025",
year = "2026",
doi = "10.1007/978-981-95-6123-0\_12",
language = "英语",
isbn = "9789819561223",
series = "Lecture Notes in Computer Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "122--130",
editor = "Wei Jia and Lu Leng and Weidong Min and Jun Chu and Jie Gui and Xiangbo Shu and Xianye Ben and Zhenan Sun and Yuming Fang",
booktitle = "Biometric Recognition - 19th Chinese Conference, CCBR 2025, Proceedings",
address = "德国",
}