黑盒模型中保护隐私的通用对抗防御

IF 8 1区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS

IEEE Transactions on Information Forensics and Security Pub Date : 2025-09-11 DOI:10.1109/tifs.2025.3609104

Qiao Li, Cong Wu, Jing Chen, Zijun Zhang, Kun He, Ruiying Du, Xinxin Wang, Qingchuang Zhao, Yang Liu

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Privacy-preserving Universal Adversarial Defense for Black-box Models

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来源期刊

IEEE Transactions on Information Forensics and Security 工程技术-工程：电子与电气

CiteScore

14.40

自引率

7.40%

发文量

234

审稿时长

6.5 months

期刊介绍： The IEEE Transactions on Information Forensics and Security covers the sciences, technologies, and applications relating to information forensics, information security, biometrics, surveillance and systems applications that incorporate these features