School of Electrical and Electronic Engineering (EEE)

This dataverse is a collection of the School of Electrical and Electronic Engineering’s research data.

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1,091 to 1,100 of 3,800 Results

__init__.py Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach Python Source Code - 169 B - MD5: d0b2147dba3474a71e5c086d5804b9a8
load_img_tensor_imagenet10.py Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach Python Source Code - 2.7 KB - MD5: fadca6641a3b0e9e2003af0b19fc4d6a
mr_comp_test.py Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach Python Source Code - 2.3 KB - MD5: 7eb21f1031b647fd2a6d097ef1bbdd2f
processed_data_100 fingerprints.tab Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach Tabular Data - 2.3 KB - 9 Variables, 46 Observations - UNF:6:SczDG/K0h5MoF1viJWM7Pg==
README.md Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach Markdown Text - 2.5 KB - MD5: 02b587d15846a8b9b69e65081c1450df Documentation
readme.txt Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach Plain Text - 729 B - MD5: acf1ada99fe7d8b0c1026e3105b5aa0c Documentation
resnet18_checkpoint_0_29.pth Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach Unknown - 42.8 MB - MD5: 0291cce6cf709451ae33f0ee37b31b96
resnet18fe1_checkpoint_0_29.pth Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach Unknown - 42.8 MB - MD5: 4fede02e849872b789db9783b681bc11
resnet18fe1_model_0_29.pth Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach Unknown - 42.7 MB - MD5: da208478e9bda57a636d4d2587afbaad
resnet18ft_checkpoint_0_29.pth Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach Unknown - 42.8 MB - MD5: 7a7abc243c1b44644e612b74362f7f2e

__init__.py

Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach

Python Source Code - 169 B -

load_img_tensor_imagenet10.py

Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach

Python Source Code - 2.7 KB -

mr_comp_test.py

Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach

Python Source Code - 2.3 KB -

processed_data_100 fingerprints.tab

Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach

Tabular Data - 2.3 KB - 9 Variables, 46 Observations -

README.md

Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach

Markdown Text - 2.5 KB -

Documentation

readme.txt

Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach

Plain Text - 729 B -

Documentation

resnet18_checkpoint_0_29.pth

Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach

Unknown - 42.8 MB -

resnet18fe1_checkpoint_0_29.pth

Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach

Unknown - 42.8 MB -

resnet18fe1_model_0_29.pth

Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach

Unknown - 42.7 MB -

resnet18ft_checkpoint_0_29.pth

Oct 16, 2024 - Related Data for: Fingerprinting Deep Neural Networks - a DeepFool Approach

Unknown - 42.8 MB -

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