攻击者不尽相同!揭示特征分布对标签推理攻击的影响

IF 6.3 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS IEEE Transactions on Information Forensics and Security Pub Date : 2024-11-14 DOI:10.1109/tifs.2024.3498464
Yige Liu, Che Wang, Yiwei Lou, Yongzhi Cao, Hanpin Wang
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Attackers Are Not the Same! Unveiling the Impact of Feature Distribution on Label Inference Attacks
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来源期刊
IEEE Transactions on Information Forensics and Security
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
期刊最新文献
Attackers Are Not the Same! Unveiling the Impact of Feature Distribution on Label Inference Attacks Backdoor Online Tracing With Evolving Graphs SecBNN: Efficient Secure Inference on Binary Neural Networks Strtune: Data Dependence-Based Code Slicing for Binary Similarity Detection With Fine-Tuned Representation SemantiChain: A Trust Retrieval Blockchain Based on Semantic Sharding
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