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Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach
Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach
Oct 16, 2024 - WANG Si
Wang, Si; Chang, Chip Hong, 2024, "Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach", https://doi.org/10.21979/N9/ZDWQLI, DR-NTU (Data), V1, UNF:6:SczDG/K0h5MoF1viJWM7Pg== [fileUNF]
This dataset contains partial program source code and the data for analysis for the paper "Fingerprinting Deep Neural Networks - a DeepFool Approach"
cifar100-resnet20-8412cc70.pth
Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach
Unknown - 1.1 MB - MD5: 7ac2fe690ab43fcd66b6d032c0ece105
cifar100-resnet32-6568a0a0.pth
Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach
Unknown - 1.8 MB - MD5: 3b1341784debd4cfebe15a658f2fde7d
cifar100-resnet44-20aaa8cf.pth
Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach
Unknown - 2.6 MB - MD5: ba17ada06d91603b234a5c64f2950d23
cifar100-resnet56-2f147f26.pth
Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach
Unknown - 3.4 MB - MD5: 8ea1a512860447615f17eeabdebb74c3
cifar10-resnet20-30abc31d.pth
Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach
Unknown - 1.1 MB - MD5: 0a660567aadcb9e6d7ed74f1b88d48ab
cifar10-resnet32-e96f90cf.pth
Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach
Unknown - 1.8 MB - MD5: 6a5c0a5b3674e7b0cea336d66daddef6
cifar10-resnet44-f2c66da5.pth
Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach
Unknown - 2.6 MB - MD5: 1ff89bf05100dcc22e171e19d1397246
cifar10-resnet56-f5939a66.pth
Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach
Unknown - 3.3 MB - MD5: 953d1ea823f61ce4ab488310d4fd6d4b
deepfool.py
Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach
Python Source Code - 2.7 KB - MD5: 491e020fa8a1205ce4f46e618088f646
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