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2024-09-05
【论文阅读】AugSteal: Advancing Model Steal With Data Augmentation in Active Learning Frameworks(2024)
摘要Withtheproliferationof(随着)machinelearningmodels(机器学习模型)indiverseapplications,theissueofmodelsecurity(模型的安全问题)hasincreasinglybecomeafocalpoint(日益成为人们关注的焦点).Modelstealattacks(模型窃取攻击)cancausesignificant
2024-08-26
Authentication scenarios and recommendations MSAL vs Microsoft.Identity.Web
AuthenticationscenariosandrecommendationsIfyouhaveawebapporanAPIrunninginAzureAppService,youcanrestrictaccesstoitbasedontheidentityoftheusersorapplicationsthatrequestit.AppServiceoffersseveralauthenticationsolution
2024-07-04
Robust Test-Time Adaptation in Dynamic Scenarios--论文阅读
论文笔记资料1.代码地址https://github.com/BIT-DA/RoTTA2.论文地址https://arxiv.org/abs/2303.138993.数据集地址comingsoon1论文摘要的翻译测试时间自适应(TTA)旨在使预先7训练的模型适用于仅具有未标记测试数据流的测试分布。大多数以前的TTA方法已经在简单的