厦门大学平台管理系统罗志明--中文主页-- Improving Transferable Targeted Adversarial Attack via Normalized Logit Calibration and Truncated Feature Mixing

罗志明

访问量：

开通时间：..

最后更新时间：..

当前位置：中文主页 >> 科学研究 >> 论文成果

Improving Transferable Targeted Adversarial Attack via Normalized Logit Calibration and Truncated Feature Mixing

点击次数：

发表刊物：arXiv

合写作者：罗志明

论文类型：Preprint (PP)

是否译文：否

发表时间：2024-05-10

上一条：Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability

下一条：A Two-Stage Transfer Learning Method for Tea Disease Identification