忧伤 发表于 2025-3-23 10:01:00
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https://doi.org/10.1007/978-3-319-58359-4systems, such smoothness is usually obtained via ., which explicitly enforces models to perform well on perturbed examples. In this work, we show the surprising effectiveness of instead regularizing the gradient w.r.t. model inputs .. Penalizing input . is commonly believed to be a much inferior app最高峰 发表于 2025-3-24 04:36:16
https://doi.org/10.1007/978-3-319-58359-4mages . corresponding pose information. Current sparse-view 3D inference methods typically rely on camera poses to geometrically aggregate information from input views, but are not robust in-the-wild when such information is unavailable/inaccurate. In contrast, UpFusion sidesteps this requirement byPalliation 发表于 2025-3-24 06:57:42
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Decentralised Planning Proceduresm is of great importance in the privacy community where obfuscation of features has been proposed as a technique for privacy-preserving machine learning (ML) inference. In this benchmark, we characterize different obfuscation techniques and design different attack models. We propose multiple reconst大看台 发表于 2025-3-24 16:35:00
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http://reply.papertrans.cn/25/2424/242337/242337_19.png课程 发表于 2025-3-25 01:12:02
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